Organization
Information Technology Center Professor
Graduate School
Graduate School of Informatics
Title
Professor
Contact information
Homepage
MATSUBARA, Shigeki
Research Interests
Research Interests 1
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natural language processing, spoken language processing, document communication, scholarly communication, WWW, text mining, information retrieval, computational linguistics, corpus
Research Areas
Research Areas 5
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Others / Others / natural language processing
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Others / Others / information retrieval
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Others / Others / digital library
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Others / Others / spoken language processing
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Others / Others / language resources
Current Research Project and SDGs
Current Research Project and SDGs 5
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Scholarly Communication
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conversational agent
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text processing
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Spoken document engineering
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Development of language resources metadata database
Research History
Research History 19
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Nagoya University Part-time faculty member
2023.10
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Nagoya University
2023.10
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Nagoya University Information Technology Center Scholarly Information Division Professor
2023.10
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東海国立大学機構 デジタルユニバーシティ室 室員
2021.4
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Nagoya University Faculty
2019.12
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Nagoya University Professor
2017.10
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Country：Japan
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Nagoya University Graduate School of Informatics Department of Intelligent Systems
2017.10
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Nagoya University Administrative Support Organizations Information Strategy Office
2017.4 - 2017.9
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Nagoya University Information Technology Center Associate Professor
2010.4 - 2010.10
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Nagoya University Administrative Support Organizations Research Strategy & Promotion Office
2009.4 - 2012.5
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Nagoya University Associate professor
2007.4 - 2017.9
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Country：Japan
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NICT Researcher
2006.4 - 2010.3
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Country：Japan
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Nagoya University Graduate School of Information Science Department of Systems and Social Informatics
2006.4 - 2010.3
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ATR Researcher
2002.8 - 2006.3
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Country：Japan
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Nagoya University School of Engineering Department of Electrical and Electronic Engineering and Information Engineering Associate Professor
2002.5 - 2009.3
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Nagoya University University Library Library Studies
2002.4 - 2016.3
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Nagoya University Associate Professor
2002.4 - 2007.3
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Country：Japan
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Nagoya University Assistant
1998.4 - 2002.3
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Country：Japan
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Japan Society for Promotion of Science Research Fellow
1996.4 - 1998.3
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Country：Japan
Education
Education 1
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Nagoya University Graduate School, Division of Engineering Department of Information Engineering
- 1998.3
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Country： Japan
Professional Memberships
Professional Memberships 9
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情報処理学会 論文誌編集委員、音声言語情報処理研究会幹事、自然言語処理研究会運営委員、論文賞選定委員、東海支部学術論文奨励賞選定委員、知能システム研究会運営委員、東海支部幹事、代表会員、自然言語処理研究会運営委員、査読委員、知能システム研究会幹事、シニア会員、シニア査読委員、オープンサイエンスと研究データマネジメント研究グループ運営委員、東海支部委員，オープンサイエンスと研究データマネジメント研究グループ幹事、インターネットと運用技術研究会委員
1998.4
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電子情報通信学会 言語理解とコミュニケーション研究会専門委員、話し言葉処理研究会専門委員、シニア会員
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言語処理学会 理事, 編集委員
2011.9
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IEEE
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Association for Computer Machinery (ACM)
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Association for Computational Linguistics (ACL)
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人工知能学会 人工知能とファイナンス研究会委員
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日本通訳翻訳学会
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情報知識学会
2023.4
Committee Memberships
Committee Memberships 6
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文部科学省 「2030 デジタル・ライブラリー」推進に関する検討会委員
2023.4
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Committee type：Government
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大学ICT推進協議会研究データマネジメント部会 主査
2022.6
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Committee type：Academic society
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大学ICT推進協議会 主任研究員
2021.4
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Committee type：Academic society
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国立情報学研究所 研究データ基盤運営委員会委員
2020.10
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Committee type：Government
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ORCID日本コンソーシアム 運営委員
2020.4
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Committee type：Academic society
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AXIES研究データマネジメント部会 副査
2019.1 - 2022.5
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Committee type：Academic society
Papers
Papers 235
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Classification of URL Citations on Scholarly Papers Using Intermediate Task Training Reviewed
Kazuhiro Wada, Masaya Tsunokake, Shigeki Matsubara
IEICE Transactions 2025.5
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Authorship：Last author Language：English Publishing type：Research paper (scientific journal)
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Negation Scope Conversion for Unifying Negation-Annotated Datasets Reviewed
Asahi Yoshida, Yoshihide Kato, Shigeki Matsubara
Journal of Natural Language Processing Vol. 32 ( 1 ) page： 300 - 329 2025.3
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Authorship：Last author Language：English Publishing type：Research paper (scientific journal)
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Citation-Worthy Detection of URL Citations in Scholarly Papers Open Access
Kazuhiro Wada, Masaya Tsunokake, Shigeki Matsubara
Proceedings of the 24th ACM/IEEE Joint Conference on Digital Libraries (JCDL-2024) ( 28 ) page： 1 - 5 2025.3
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Language：English Publishing type：Research paper (scientific journal)
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The Power of URLs in Scholarly Papers: Their Role as Metadata Sources for Data Repositories
Wada K., Matsubara S.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 15494 LNCS page： 85 - 92 2025
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Language：English Publishing type：Research paper (scientific journal) Publisher：Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Open science is increasingly important in academia. This paper investigates the citations using URLs, used to reference research resources in scholarly papers, and their potential as metadata sources for data repositories. A dataset of URL citations extracted from scholarly papers in natural language processing is analyzed. We first examine trends in locations and frequency of URL citations over time, then classify the types of research resources and their citation purposes. Furthermore, we assess the usability of URL citations for automatic metadata generation in data repositories. Specifically, we explore how many metadata records can be added and how much the metadata fields can be enriched. Our findings suggest that URL citations offer a promising approach for enhancing metadata quality and availability in data repositories.
DOI： 10.1007/978-981-96-0868-3_6
Other Link： https://link.springer.com/chapter/10.1007/978-981-96-0868-3_6
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Capabilities and Challenges of LLMs in Metadata Extraction from Scholarly Papers
Watanabe Y., Ito K., Matsubara S.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 15493 LNCS page： 280 - 287 2025
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Language：English Publishing type：Research paper (scientific journal)
DOI： 10.1007/978-981-96-0865-2_23
Other Link： https://dl.acm.org/doi/10.1007/978-981-96-0865-2_23
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Estimation of Relevance Between Datasets for Enhancing Accessibility of Research Artifacts
Ito K., Matsubara S.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 15494 LNCS page： 97 - 103 2025
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Language：English Publishing type：Research paper (scientific journal)
DOI： 10.1007/978-981-96-0868-3_8
Other Link： https://link.springer.com/chapter/10.1007/978-981-96-0868-3_8
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The 30th Anniversary Initiatives of the Association for Natural Language Processing Open Access
Inoue Naoya, Ouchi Hiroki, Kawahara Daisuke, Kurohashi Sadao, Komachi Mamoru, Sudoh Katsuhito, Nagata Ryo, Matsubara Shigeki, Miyao Yusuke
Journal of Natural Language Processing Vol. 32 ( 1 ) page： 330 - 341 2025
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Language：Japanese Publishing type：Research paper (scientific journal) Publisher：The Association for Natural Language Processing
DOI： 10.5715/jnlp.32.330
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Negation Scope Conversion for Unifying Negation-Annotated Datasets Open Access
Yoshida Asahi, Kato Yoshihide, Matsubara Shigeki
Journal of Natural Language Processing Vol. 32 ( 1 ) page： 300 - 329 2025
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Language：English Publishing type：Research paper (scientific journal) Publisher：The Association for Natural Language Processing
<p>Negation scope resolution is a technique that identifies the part of a sentence affected by the negation cue. The three major corpora used for it, the BioScope corpus, the SFU review corpus, and the Sherlock dataset, have different annotation schemes for negation scope. Due to the different annotations, it is difficult to use the three corpora together in the study of negation scope resolution. To address this issue by merging the corpora into a unified dataset based on a common annotation scheme, we propose a method for automatically converting the scopes of BioScope and SFU to those of Sherlock. We conducted an experiment to evaluate the accuracy of our method using a dataset obtained by manually annotating the negation scopes to a tiny portion of BioScope and SFU, verifying that our method can convert the scopes with high accuracy. In addition, we conducted another experiment to verify the effectiveness of our method from a pragmatic perspective, where we fine-tuned PLM-based negation scope resolution models using the unified dataset obtained by our method. The results demonstrated that the performances of the models increase when fine-tuned on the unified dataset, unlike the simply combined one, which supports the effectiveness of our method.</p>
DOI： 10.5715/jnlp.32.300
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Classification of URL Citations on Scholarly Papers Using Intermediate Task Training Open Access
WADA Kazuhiro, TSUNOKAKE Masaya, MATSUBARA Shigeki
IEICE Transactions on Information and Systems Vol. advpub ( 0 ) 2025
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Language：English Publishing type：Research paper (scientific journal) Publisher：The Institute of Electronics, Information and Communication Engineers
<p>Citations using URL (URL citations) that appear in scholarly papers can be used as an information source for the research resource search engines. In particular, the information about the types of cited resources and reasons for their citation is crucial to describe the resources and their relations in the search services. To obtain this information, previous studies proposed some methods for classifying URL citations. However, their methods trained the model using a simple fine-tuning strategy and exhibited insufficient performance. We propose a classification method using a novel intermediate task. Our method trains the model on our intermediate task of identifying whether sample pairs belong to the same class before being fine-tuned on the target task. In the experiment, our method outperformed previous methods using the simple fine-tuning strategy with higher macro F-scores for different model sizes and architectures. Our analysis results indicate that the model learns the class boundaries of the target task by training our intermediate task. Our intermediate task also demonstrated higher performance and computational efficiency than an alternative intermediate task using triplet loss. Finally, we applied our method to other text classification tasks and confirmed the effectiveness when a simple fine-tuning strategy does not stably work.</p>
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Human Performance in Incremental Dependency Parsing: Dependency Structure Annotations and their Analyses Reviewed
Hiroki Unno, Tomohiro Ohno, Koichiro Ito, Shigeki Matsubara
Proceedings of the 37th Pacific Asia Conference on Language, Information and Computation (PACLIC-2024) 2024.12
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Authorship：Last author Language：English Publishing type：Research paper (international conference proceedings)
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Enhancing accessibility of research data through metadata conversion and registration in institutional repositories: Practices in the field of Solar-Terrestrial Physics Invited
NOSÉ Masahito, SHINBORI Atsuki, MIYOSHI Yoshizumi, HORI Tomoaki, OOHIRA Tsukasa, OKAMOTO Maiko, NAOE Chizuko, GAKIYA Rui, TANAKA Sachie, SAGARA Takeshi, AOKI Takaaki, MATSUBARA Shigeki, TAKAHASHI Ichiro, HAYASHI Hidekazu, YAMADA Kazunari, MINAMIYAMA Yasuyuki, TANAKA Yoshimasa, ABE Shuji, UENO Satoru, IMAJO Shun, SAITO Yasuo, ASHIKITA Takuya, HORI Yuko, SHIMIZU Toshiyuki, OKAMURA Nanako, HIRANO Kaoru
The Journal of Information Science and Technology Association Vol. 74 ( 11 ) page： 487 - 493 2024.11
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Language：Japanese Publishing type：Research paper (scientific journal) Publisher：Information Science and Technology Association, Japan
<p>The “Inter-university Upper atmosphere Global Observation NETwork (IUGONET)” project has developed a metadata database for ground-based observation data in Solar-Terrestrial Physics. In order to make this metadata database accessible to a wide range of research communities and the general public, we converted metadata in different metadata schema and registered them in academic institutional repositories. As a result, through regular harvesting between databases, the metadata has also been registered in the Institutional Repositories Database (IRDB), the Data Catalog Cross-Search System, and Google’s Dataset Search, significantly enhancing the visibility and accessibility of research data. Furthermore, effective metadata management was implemented in response to research metadata maintenance requests from policy-making bodies.</p>
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Utilization of Text Data for Response Timing Detection in Attentive Listening Reviewed
Yu Watanabe, Koichiro Ito, Shigeki Matsubara
Proceedings of Interspeech-2024 page： 3565 - 3569 2024.9
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Authorship：Last author Language：English Publishing type：Research paper (international conference proceedings)
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On an Intermediate Task for Classifying URL Citations on Scholarly Papers Reviewed
Kazuhiro Wada, Masaya Tsunokake, Shigeki Matsubara
Proceeding of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING2024) 2024.5
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Authorship：Last author Language：English Publishing type：Research paper (international conference proceedings)
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Negation Scope Conversion: Towards a Unified Negation-Annotated Dataset Reviewed
Asahi Yoshida, Yoshihide Kato, Shigeki Matsubara
Proceeding of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING2024) 2024.5
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Authorship：Last author Language：English Publishing type：Research paper (international conference proceedings)
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Responsive Utterance Generation to Show Disagreement to Narrative in Attentive Listening Reviewed
Ito Koichiro, Murata Masaki, Ohno Tomohiro, Matsubara Shigeki
Journal of Natural Language Processing Vol. 31 ( 1 ) page： 212 - 249 2024.3
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Authorship：Last author Language：Japanese Publishing type：Research paper (scientific journal) Publisher：The Association for Natural Language Processing
<p>Conversational agents, such as communication robots, are expected to play a role in listening to narratives. To recognize these robots as the listeners, it is essential for them to have a function that indicates their attentive listening to a narrative. The basic response strategy in attentive listening involves generating responsive utterances that show acceptance. However, the narratives occasionally contain self-deprecation or modesty. In such cases, the listener must be able to produce a response that shows disagreement with the narrator's utterance, that is, a disagreement response. This study demonstrates the feasibility of generating appropriate disagreement responses. First, we define a method to tag the timing and expression of the disagreement response to narrative data in a non-real-time environment, and verify that the method enables to construct a corpus to which the disagreement response timing and response expression are comprehensively and stably assigned, respectively. Next, we implement detection and classification methods for disagreement response timing and expressions, respectively, based on a pre-trained transformer-based model and verify the feasibility of generating disagreement responses using the response corpus through experiments. </p>
DOI： 10.5715/jnlp.31.212
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Re-Evaluating Syntax-Based Negation Scope Resolution Open Access
YOSHIDA Asahi, KATO Yoshihide, MATSUBARA Shigeki
IEICE Transactions on Information and Systems Vol. E107.D ( 1 ) page： 165 - 168 2024.1
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Language：English Publishing type：Research paper (scientific journal) Publisher：The Institute of Electronics, Information and Communication Engineers
<p>Negation scope resolution is the process of detecting the negated part of a sentence. Unlike the syntax-based approach employed in previous researches, state-of-the-art methods performed better without the explicit use of syntactic structure. This work revisits the syntax-based approach and re-evaluates the effectiveness of syntactic structure in negation scope resolution. We replace the parser utilized in the prior works with state-of-the-art parsers and modify the syntax-based heuristic rules. The experimental results demonstrate that the simple modifications enhance the performance of the prior syntax-based method to the same level as state-of-the-art end-to-end neural-based methods.</p>
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Nosé M., Shinbori A., Miyoshi Y., Hori T., Ohira T., Hashiba J., Naoe C., Gakiya R., Okamoto M., Sagara T., Aoki T., Matsubara S., Takahashi I., Hayashi H., Yamada K., Minamiyama Y., Tanaka Y., Abe S., Ueno S., Imajo S., Saito Y., Ashikita T., Hori Y., Shimizu T., Okamura N., Hirano K., Bargatze L.
Data Science Journal Vol. 23 2024
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Estimating Metadata of Research Artifacts to Enhance their Findability
Koichiro Ito, Shigeki Matsubara
Proceedings of 2024 IEEE 20th International Conference on e-Science (e-Science) page： 1 - 2 2024
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Language：English Publishing type：Research paper (scientific journal)
DOI： 10.1109/e-Science62913.2024.10678684
Other Link： https://www.computer.org/csdl/proceedings-article/e-science/2024/10678684/20op4XS5gic
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Paper Recommendation Using Citation Contexts in Scholarly Documents Reviewed
Tomoki Ikoma, Shigeki Matsubara
Proceedings of the 37th Pacific Asia Conference on Language, Information and Computation (PACLIC 37) 2023.12
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Authorship：Last author Language：English Publishing type：Research paper (international conference proceedings)
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Automatic Insertion of Commas and Linefeeds into Lecture Transcripts Based on Multi-task Learning Reviewed
Zhicheng Fang, Masaki Murata, Shigeki Matsubara:
Proceedings of the 37th Pacific Asia Conference on Language, Information and Computation (PACLIC 37) 2023.12
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Authorship：Last author Language：English Publishing type：Research paper (international conference proceedings)
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On the Use of Language Models for Function Identification of Citations in Scholarly Papers Reviewed
Tomoki Ikoma and Shigeki Matsubara
Proceedings of the 2nd Workshop on Information Extraction from Scientific Publications (WIESP 2023) 2023.11
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Language：English Publishing type：Research paper (international conference proceedings)
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Revisiting Syntax-Based Approach in Negation Scope Resolution Reviewed
Asahi Yoshida, Yoshihide Kato and Shigeki Matsubara
Proceedings of the 12th Joint Conference on Lexical and Computational Semantics (*SEM2023) page： 18 - 23 2023.7
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Authorship：Last author Language：English Publishing type：Research paper (international conference proceedings)
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Natural Language Inference Using Neural Network and Tableau Method Reviewed
Saji Ayahito, Takao Daiki, Kato Yoshihide, Matsubara Shigeki
Journal of Natural Language Processing Vol. 30 ( 2 ) page： 632 - 663 2023.6
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Authorship：Corresponding author Language：Japanese Publishing type：Research paper (scientific journal) Publisher：The Association for Natural Language Processing
<p>Natural language inference (NLI) is the task of identifying the inferential relation between a text pair. In recent times, neural-based approaches have achieved high performance in NLI. However, they are unable to explain their reasoning processes. On the other hand, symbolic approaches have the advantage that their reasoning process is understandable to humans. This paper proposes a method for integrating a neural NLI model and the tableau proof system, with the latter explaining the reasoning processes. The standard tableau method decomposes logical formulas by applying inferential rules and checks for a valuation that satisfies the given constraints. Unlike the standard tableau method, the proposed method uses dependency structures as its components rather than logical formulas and employs a neural NLI model for the latter process. To analyze the behavior of our method, we conducted an experiment on the neural NLI model and the proposed method using SNLI corpus. In addition, we formalize our method model-theoretically and clarify the theoretical limitations of this method based on the formalization. </p>
DOI： 10.5715/jnlp.30.632
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Generation Timing Estimation of Responsive Utterances to Show Attentive Listening to Narrative Speech Reviewed
ITO Koichiro, MURATA Masaki, OHNO Tomohiro, MATSUBARA Shigeki
Vol. J106-A ( 3 ) page： 136 - 145 2023.3
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Authorship：Last author Language：Japanese Publishing type：Research paper (scientific journal) Publisher：The Institute of Electronics, Information and Communication Engineers
Conversational agents, e.g., communication robots and smart speakers, are expected to listen to human narratives. For realizing such agents, it is necessary to generate responsive utterances at appropriate timings. This paper proposes a method to estimate the degree of appropriateness as generation timings of responsive utterances. The proposed method estimates the degree by encoding acoustic and linguistic narrative information with a transformer-based approach. To evaluate the performance, an experiment was conducted using 131,616 responsive utterances. The experimental results demonstrated that the proposed method was effective. Additionally, we confirmed that the degree of appropriateness was useful for response timing detection.
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Bottom-up Japanese Word Ordering using BERT Reviewed
Masato Yamazoe, Tomohiro Ohno and Shigeki Matsubara
Proceedings of the 15th International Conference on Agents and Artificial Intelligence (ICAART-2023) Vol. 3 page： 673 - 681 2023.2
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Authorship：Last author Language：English Publishing type：Research paper (international conference proceedings)
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Japanese Word Reordering based on Topological Sort Reviewed
Peng Sun, Tomohiro Ohno and Shigeki Matsubara
Proceedings of the 15th International Conference on Agents and Artificial Intelligence (ICAART-2023) Vol. 3 page： 768 - 775 2023.2
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Authorship：Last author Language：English Publishing type：Research paper (international conference proceedings)
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Question Difficulty Decision for Automated Interview in Foreign Language Test Reviewed
Minghao Lin, Koichiro Ito and Shigeki Matsubara
Proceedings of the 15th International Conference on Agents and Artificial Intelligence (ICAART-2023) Vol. 3 page： 768 - 775 2023.2
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Authorship：Last author Language：English Publishing type：Research paper (international conference proceedings)
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Identifying Influential References in Scholarly Papers Using Citation Contexts
Ikoma T., Matsubara S.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 14458 page： 152 - 161 2023
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Language：English Publishing type：Research paper (scientific journal)
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Japanese Word Reordering Based on Topological Sort Open Access
Sun P., Ohno T., Matsubara S.
International Conference on Agents and Artificial Intelligence Vol. 3 page： 768 - 775 2023
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Language：English Publishing type：Research paper (scientific journal) Publisher：International Conference on Agents and Artificial Intelligence
In Japanese, some sentences are grammatically well-formed, but not easy to read. This paper proposes a method for Japanese word reordering, which first adapts a Japanese BERT model to predict suitable pairwise orderings between two words in a sentence, and then converts the predicted results into a graph. The vertices in the graph represent the words in the sentence. The edges represent the pairwise orderings between two words. Finally, topological sort is applied to find the correct word ordering in a sentence by visiting each graph vertex. We conducted an evaluation experiment with uneasy-to-read Japanese sentences created from newspaper article sentences.
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Question Difficulty Decision for Automated Interview in Foreign Language Test Open Access
Lin M., Ito K., Matsubara S.
International Conference on Agents and Artificial Intelligence Vol. 3 page： 760 - 767 2023
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Language：English Publishing type：Research paper (scientific journal) Publisher：International Conference on Agents and Artificial Intelligence
As globalization continues to progress all over the world, demand is growing for objective and rapid assessment of language proficiency in foreign language learners. While automated assessment of listening, reading, and writing skills has been proposed, little research has been done to automate assessment of speaking skills. In this paper, we propose a method of deciding the difficulty of questions generated for interview tests of skills assessment in speaking a foreign language. To address question difficulty flexibly according to the abilities of test takers, our method considers the appropriateness of responses from test takers. We implemented this method using the large-scale pre-trained language model BERT (Bidirectional Encoder Representation from Transformers). Experiments were conducted using simulated test data from the Japanese Learner’s Conversation Database to confirm the effectiveness of our method in deciding difficulty.
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Bottom-up Japanese Word Ordering Using BERT Open Access
Yamazoe M., Ohno T., Matsubara S.
International Conference on Agents and Artificial Intelligence Vol. 3 page： 673 - 681 2023
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Language：English Publishing type：Research paper (scientific journal) Publisher：International Conference on Agents and Artificial Intelligence
Although Japanese is widely regarded as a relatively free word order language, word order in Japanese is not entirely arbitrary and has some sort of preference. As a result, it is an important technique to produce a sentence that is not only grammatically correct but also easy to read. This paper proposes a method for the word ordering of a whole Japanese sentence when the dependency relations between words are given. Using BERT, the method identifies the easy-to-read word order for a syntactic tree based on bottom-up processing. We confirmed the effectiveness of our method through an experiment on word ordering using newspaper articles.
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Extracting Information about Research Resources from Scholarly Papers Reviewed
Ayahito Saji and Shigeki Matsubara
Proceedings of the 24th International Conference on Asia-Pacific Digital Libraries (ICADL-2022) 2022.12
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Authorship：Last author Language：English Publishing type：Research paper (international conference proceedings)
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Classification of URL Citations in Scholarly Papers for Promoting Utilization of Research Artifacts Reviewed
Masaya Tsunokake and Shigeki Matsubara
Proceedings of AACL-IJCNLP-2022 The 1st Workshop on Information Extraction from Scientific Publications 2022.11
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Authorship：Last author Language：English Publishing type：Research paper (international conference proceedings)
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A Model-Theoretic Formalization of Natural Language Inference Using Neural Network and Tableau Method Reviewed
Ayahito Saji, Yoshihide Kato, Shigeki Matsubara
Proceedings of the 36th Pacific Asia Conference on Language, Information and Computation (PACLIC 35) 2022.10
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Authorship：Last author Language：English Publishing type：Research paper (international conference proceedings)
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Construction of Responsive Utterance Corpus for Attentive Listening Response Production Reviewed
Ito K., Murata M., Ohno T., Matsubara S.
2022 Language Resources and Evaluation Conference, LREC 2022 page： 7244 - 7252 2022
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Authorship：Last author Language：English Publishing type：Research paper (international conference proceedings) Publisher：2022 Language Resources and Evaluation Conference, LREC 2022
In Japan, the number of single-person households, particularly among the elderly, is increasing. Consequently, opportunities for people to narrate are being reduced. To address this issue, conversational agents, e.g., communication robots and smart speakers, are expected to play the role of the listener. To realize these agents, this paper describes the collection of conversational responses by listeners that demonstrate attentive listening attitudes toward narrative speakers, and a method to annotate existing narrative speech with responsive utterances is proposed. To summarize, 148,962 responsive utterances by 11 listeners were collected in a narrative corpus comprising 13,234 utterance units. The collected responsive utterances were analyzed in terms of response frequency, diversity, coverage, and naturalness. These results demonstrated that diverse and natural responsive utterances were collected by the proposed method in an efficient and comprehensive manner. To demonstrate the practical use of the collected responsive utterances, an experiment was conducted, in which response generation timings were detected in narratives.
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Extracting Information about Research Resources from Scholarly Papers
Saji, A; Matsubara, S
FROM BORN-PHYSICAL TO BORN-VIRTUAL: AUGMENTING INTELLIGENCE IN DIGITAL LIBRARIES, ICADL 2022 Vol. 13636 page： 440 - 448 2022
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Language：English Publishing type：Research paper (scientific journal) Publisher：Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
This paper presents a method to extract information about research resource metadata from scholarly papers to expand research resource repositories using an academic knowledge graph. Here, we considered the hypothesis that information extracted from scholarly papers is beneficial to expand research resource repositories from two perspectives: (1) the amount of information in existing metadata, and (2) the number of entries in existing repositories. We constructed an academic knowledge graph, where the nodes and directed edges in the graph correspond to the entities and their relations in scholarly papers, respectively. To verify our hypothesis, we constructed a knowledge graph using 15,721 papers published in international conferences. We then investigated the expandability of a language resource metadata repository using the constructed knowledge graph. The experimental results demonstrated that the constructed knowledge graph could be used to enrich the descriptions of metadata and increase the number of entries in the repository.
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Construction of Responsive Utterance Corpus for Attentive Listening Response Production
Ito, K; Murata, M; Ohno, T; Matsubara, S
LREC 2022: THIRTEEN INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION page： 7244 - 7252 2022
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Estimating the Generation Timing of Responsive Utterances by Active Listeners of Spoken Narratives Reviewed
Koichiro Ito, Masaki Murata, Tomohiro Ohno, and Shigeki Matsubara
Proceeding of 2021 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU 2021) page： 495 - 502 2021.12
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Authorship：Last author Language：English Publishing type：Research paper (international conference proceedings)
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Using Citation Contexts in Scholarly Papers for Research Data Search Reviewed
Masaya Tsunokake and Shigeki Matsubara
Proceedings of the 16th International Joint Symposium on Artificial Intelligence and Natural Language Processing (iSAI-NLP 2021) 2021.12
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Identification of Important Utterances in Narrative Speech Using Attentive Listening Responses Reviewed
Shunsuke Kosugi, Koichiro Ito, Masaki Murata, Tomohiro Ohno, and Shigeki Matsubara
Proceedings of the 16th International Joint Symposium on Artificial Intelligence and Natural Language Processing (iSAI-NLP 2021) 2021.12
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Language：English Publishing type：Research paper (international conference proceedings)
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A New Representation for Span-based CCG Parsing Reviewed
Yoshihide Kato and Shigeki Matsubara
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP-2021) page： 10579 - 10584 2021.11
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Natural Language Inference using Neural Network and Tableau Method Reviewed
Ayahito Saji, Daiki Takao, Yoshihide Kato and Shigeki Matsubara
Proceedings of the 35th Pacific Asia Conference on Language, Information and Computation (PACLIC 35) page： 406 - 414 2021.11
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Language：English Publishing type：Research paper (international conference proceedings)
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同時通訳における順送り方略の適用に影響する起点言語の特徴 Reviewed
蔡 仲煕, 笠 浩一朗, 松原 茂樹
通訳翻訳研究 Vol. 20 page： 25 - 40 2021.2
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Word reordering and comma insertion integrated with shift-reduce dependency parsing Reviewed
Miyachi K., Ohno T., Matsubara S.
ICAART 2021 - Proceedings of the 13th International Conference on Agents and Artificial Intelligence Vol. 2 page： 1144 - 1150 2021.2
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Language：Japanese Publishing type：Research paper (international conference proceedings) Publisher：ICAART 2021 - Proceedings of the 13th International Conference on Agents and Artificial Intelligence
Japanese has widely recognized as relatively free word order language. However, since Japanese word order is not completely arbitrary and has some sort of preference, even native Japanese writers often write Japanese sentences that are grammatically well-formed but not easy to read. Furthermore, in Japanese sentences, a comma plays an important role in explicitly separating the constituents such as words and phrases. This paper proposes a method of word reordering and comma insertion for hard-to-read Japanese sentences so that they become easier to read, as basic technique. Our contribution is to show the feasibility of concurrently performing word reordering, comma insertion, and dependency parsing.
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A New Representation for Span-based CCG Parsing
Kato, Y; Matsubara, S
2021 CONFERENCE ON EMPIRICAL METHODS IN NATURAL LANGUAGE PROCESSING (EMNLP 2021) page： 10579 - 10584 2021
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Classification of URLs Citing Research Artifacts in Scholarly Documents based on Distributed Representations International journal
Tsunokake M., Matsubara S.
CEUR Workshop Proceedings of 2nd Workshop on Extraction and Evaluation of Knowledge Entities from Scientific Documents (EEKE2021) collocated with ACM/IEEE Joint Conference on Digital Libraries (JCDL2021) Vol. 3004 page： 20 - 25 2021
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ESTIMATING THE GENERATION TIMING OF RESPONSIVE UTTERANCES BY ACTIVE LISTENERS OF SPOKEN NARRATIVES
Ito, K; Murata, M; Ohno, T; Matsubara, S
2021 IEEE AUTOMATIC SPEECH RECOGNITION AND UNDERSTANDING WORKSHOP (ASRU) page： 495 - 502 2021
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Language：English Publishing type：Research paper (scientific journal) Publisher：2021 IEEE Automatic Speech Recognition and Understanding Workshop, ASRU 2021 - Proceedings
Narrating is a fundamental human desire. In order to satisfy the desire, it is more effective to have multiple listeners listen to narratives than to have one listener does. Conversational agents, e.g., communication robots and smart speakers, are expected to listen to narratives, instead of human listeners. For such agents to be recognized as narrative listeners, it is necessary to generate responsive utterances at appropriate timings. This paper proposes a method to estimate the generation timings of responsive utterances by active listeners of spoken narratives. The proposed method estimates them by encoding acoustic and linguistic information extracted from narratives with a transformer-based approach. To evaluate the performance of the proposed method, an experiment was conducted using 131, 616 responsive utterances to narratives. The experimental results demonstrated that the proposed method was effective for the estimation and both the acoustic and linguistic information was useful.
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Natural Language Inference using Neural Network and Tableau Method
Saji A., Takao D., Kato Y., Matsubara S.
Proceedings of the 35th Pacific Asia Conference on Language, Information and Computation, PACLIC 2021 page： 303 - 311 2021
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Language：English Publishing type：Research paper (scientific journal) Publisher：Proceedings of the 35th Pacific Asia Conference on Language, Information and Computation, PACLIC 2021
Natural language inference (NLI) is the task of identifying the inferential relation between a text pair. Neural-based approaches recently achieved high performance on the NLI task, but they cannot explain their reasoning processes. On the other hand, symbolic approaches have an advantage that the reasoning process is understandable to humans. This paper proposes a method to integrate a neural NLI model and a tableau proof system, the latter of which explains the reasoning processes. The standard tableau method consists of decomposing logical formulas by applying inferential rules, and checking whether or not there exists a valuation that satisfies the given constraints. Unlike the standard tableau method, our method adopts not logical formulas but dependency structures as its ingredients and uses a neural NLI model for the latter process. In order to analyze the behavior of a neural NLI model, we conducted an experiment on the neural NLI model alone and the proposed method using the SNLI corpus.
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A New Representation for Span-based CCG Parsing
Kato Y., Matsubara S.
EMNLP 2021 - 2021 Conference on Empirical Methods in Natural Language Processing, Proceedings page： 10579 - 10584 2021
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Language：Japanese Publishing type：Research paper (scientific journal) Publisher：EMNLP 2021 - 2021 Conference on Empirical Methods in Natural Language Processing, Proceedings
This paper proposes a new representation for CCG derivations. CCG derivations are represented as trees whose nodes are labeled with categories strictly restricted by CCG rule schemata. This characteristic is not suitable for span-based parsing models because they predict node labels independently. In other words, span-based models may generate invalid CCG derivations that violate the rule schemata. Our proposed representation decomposes CCG derivations into several independent pieces and prevents the span-based parsing models from violating the schemata. Our experimental result shows that an off-the-shelf span-based parser with our representation is comparable with previous CCG parsers.
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Word Reordering and Comma Insertion Integrated with Shift-Reduce Dependency Parsing
Miyachi, K; Ohno, T; Matsubara, S
ICAART: PROCEEDINGS OF THE 13TH INTERNATIONAL CONFERENCE ON AGENTS AND ARTIFICIAL INTELLIGENCE - VOL 2 page： 1144 - 1150 2021
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Language：English Publishing type：Research paper (scientific journal)
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What Affects the Word Order of Target Language in Simultaneous Interpretation
Zhongxi Cai, Koichiro Ryu, and Shigeki Matsubara
2020 International Conference on Asian Language Processing, IALP 2020 page： 135 - 140 2020.12
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Language：Japanese Publishing type：Research paper (scientific journal)
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Identification and Classification of Research Data Cited in Scholarly Papers
Tsunokake Masaya, Matsubara Shigeki
IEEJ Transactions on Electronics, Information and Systems Vol. 140 ( 12 ) page： 1357 - 1364 2020.12
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Language：Japanese Publishing type：Research paper (scientific journal) Publisher：The Institute of Electrical Engineers of Japan
<p>This paper proposes a method for identifying and classifying the research data cited in scholarly papers, aiming at automatic generation of metadata stored in data repository. This study focuses on URL citations in the scholarly papers. That is, the targets are to identify the URLs referring to the research data and to classify them into tool and data. The method is realized as a multi-class classification (tool/data/others). The method acquires the distributed representations of the URLs from the context around them, and uses them as the input feature. There exists an advantage in that the meanings of URLs can be given based on their surrounding words. This study adopts an approach of computing the meaning of the entire URL from those of the components of the URL. In order to evaluate the performance of the proposed method, experiments on URL classification were conducted. The scholarly papers included in the proceedings of the international conference were used as experimental data. Experimental results have shown the effectiveness of the proposed method for identifying and classifying URLs referring to research data.</p>
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Parsing Gapping Constructions Based on Grammatical and Semantic Roles Reviewed
Yoshihide Kato, Shigeki Matsubara
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP-2020) page： 2747 - 2752 2020.11
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Identification of Research Data References Based on Citation Contexts
Tomoki Ikoma, Shigeki Matsubara
Vol. 12504 LNCS page： 149 - 156 2020
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Language：Japanese Publishing type：Research paper (scientific journal)
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Koichiro Ito, Masaki Murata, Tomohiro Ohno, Shigeki Matsubara
LREC 2020 - 12th International Conference on Language Resources and Evaluation, Conference Proceedings page： 696 - 701 2020
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CAI Zhongxi, RYU Koichiro, MATSUBARA Shigeki
Interpreting and Translation Studies: The Journal of the Japan Association for Interpreting and Translation Studies Vol. 20 ( 0 ) page： 25 - 40 2020
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Language：Japanese Publishing type：Research paper (scientific journal) Publisher：The Japan Association for Interpreting and Translation Studies
Simultaneous interpretation has to be conducted to shorten delay and reduce working memory
load. Interpreters adopt a strategy that involves the generation of a target language in the word
order that is similar to that of the source language. To clarify how the interpreters decide the
word order in practice, we conduct a statistical study on the word order of simultaneous
interpretation, based on comparison with written translation. The word order comparisons
indicate that the strategy of maintaining the original word order is more likely to be adopted in
cases where the word order is not consistent in different translations. We analyze the features of
source languages, including dependencies of chunk pairs, length of post modifier, and distance
between two chunks, and confirm that such features affect the word-order decision in
simultaneous interpretation.DOI： 10.50837/its.2002
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PTB graph parsing with tree approximation Reviewed International journal
Kato Y., Matsubara S.
ACL 2019 - 57th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference page： 5344 - 5349 2020
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Authorship：Last author Language：English Publishing type：Research paper (international conference proceedings) Publisher：ACL 2019 - 57th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference
The Penn Treebank (PTB) represents syntactic structures as graphs due to nonlocal dependencies. This paper proposes a method that approximates PTB graph-structured representations by trees. By our approximation method, we can reduce nonlocal dependency identification and constituency parsing into single tree-based parsing. An experimental result demonstrates that our approximation method with an off-the-shelf tree-based constituency parser significantly outperforms the previous methods in nonlocal dependency identification.
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What Affects the Word Order of Target Language in Simultaneous Interpretation
Cai Zhongxi, Ryu Koichiro, Matsubara Shigeki
2020 INTERNATIONAL CONFERENCE ON ASIAN LANGUAGE PROCESSING (IALP 2020) page： 135 - 140 2020
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Ito, K; Murata, M; Ohno, T; Matsubara, S
PROCEEDINGS OF THE 12TH INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION (LREC 2020) page： 696 - 701 2020
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Parsing Gapping Constructions Based on Grammatical and Semantic Roles
Kato, Y; Matsubara, S
PROCEEDINGS OF THE 2020 CONFERENCE ON EMPIRICAL METHODS IN NATURAL LANGUAGE PROCESSING (EMNLP) page： 2747 - 2752 2020
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Parsing gapping constructions based on grammatical and semantic roles
Kato Y., Matsubara S.
EMNLP 2020 - 2020 Conference on Empirical Methods in Natural Language Processing, Proceedings of the Conference page： 2747 - 2752 2020
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Language：English Publishing type：Research paper (scientific journal) Publisher：EMNLP 2020 - 2020 Conference on Empirical Methods in Natural Language Processing, Proceedings of the Conference
A gapping construction consists of a coordinated structure where redundant elements are elided from all but one conjuncts. This paper proposes a method of parsing sentences with gapping to recover elided elements. The proposed method is based on constituent trees annotated with grammatical and semantic roles that are useful for identifying elided elements. Our method outperforms the previous method in terms of F-measure and recall.
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PTB Graph Parsing with Tree Approximation Reviewed
Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics (ACL-2019) page： 5344-5349 2019.7
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同時通訳における作業記憶の負荷と訳出との関係 Reviewed
笠浩一朗, 松原茂樹
通訳翻訳研究 ( 18 ) page： 1-12 2019.2
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Language：Japanese Publishing type：Research paper (scientific journal)
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同時通訳における語の欠落に影響を及ぼす要因の分析 Reviewed
蔡 仲煕, 笠 浩一朗, 松原 茂樹
通訳翻訳研究 ( 18 ) page： 1-14 2019.2
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Language：Japanese Publishing type：Research paper (scientific journal)
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Cai Z., Ryu K., Matsubara S.
LREC 2018 - 11th International Conference on Language Resources and Evaluation page： 4282 - 4288 2019
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Language：English Publishing type：Research paper (scientific journal) Publisher：LREC 2018 - 11th International Conference on Language Resources and Evaluation
This paper describes statistical analyses of missing translations in simultaneous interpretations. Eighty-eight lectures from English-to-Japanese interpretation data from a large-scale bilingual speech corpus were used for the analyses. Word-level alignment was provided manually, and English words without corresponding Japanese words were considered missing translations. The English lectures contained 46,568 content words, 33.1% of which were missing in the translation. We analyzed the relationship between missing translations and various factors, including the speech rate of the source language, delay of interpretation, part-of-speech, and depth in the syntactic structure of the source language. The analyses revealed that the proportion of missing translations is high when the speech rate is high and delay is large. We also found that a high proportion of adverbs were missed in the translations, and that words at deeper positions in the syntactic structure were more likely to be missed.
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PTB Graph Parsing with Tree Approximation
Kato, Y; Matsubara, S
57TH ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS (ACL 2019) page： 5344 - 5349 2019
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Model-Theoretic Incremental Interpretation Based on Discourse Representation Theory Reviewed
Yoshihide Kato, Shigeki Matsubara
Proceedings of the 32nd Pacific Asia Conference on Language, Information and Computation (PACLIC 32) page： 1 2018.12
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Statistical Analysis of Missing Translation in Simultaneous Interpretation Using A Large-scale Bilingual Speech Corpus Reviewed
Zhongxi Cai, Koichiro Ryu, Shigeki Matsubara
Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018) page： 4282-4288 2018.5
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Collection of Responsive Utterances to Show Attentive Hearing of Narratives
Murata Masaki, Ohno Tomohiro, Matsubara Shigeki
IEEJ Transactions on Electronics, Information and Systems Vol. 138 ( 5 ) page： 637 - 638 2018.5
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Language：Japanese Publishing type：Research paper (scientific journal) Publisher：The Institute of Electrical Engineers of Japan
<p>This paper describes collection of responsive utterances of showing attentive hearing for narrative speech. In this research, a method of annotating an existing narrative corpus with responsive utterances was adopted. Actually, 16,213 responsive utterances were collected for a narrative corpus consisting of 13,381 utterances. It was confirmed that the method can collect a variety of natural responsive utterances.</p>
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Corpus-based Analysis of Factors Leading to Missing Translation in Simultaneous Interpretation
CAI Zhongxi, RYU Koichiro, MATSUBARA Shigeki
Interpreting and Translation Studies: The Journal of the Japan Association for Interpreting and Translation Studies Vol. 18 ( 0 ) page： 133 - 146 2018
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Language：Japanese Publishing type：Research paper (scientific journal) Publisher：The Japan Association for Interpreting and Translation Studies
This paper describes corpus-based analyses of missing translations in simultaneous interpretations. We used English-to-Japanese interpretation data in the simultaneous interpretation database of Nagoya University for the analyses. The English lectures contained 46,568 content words, and 33.1% of them were missing in the translation. We analyzed the relations between omissions and the factors that influence them, i.e., the speech rate of the source language, delay of interpretation, part-of-speech, and depth in the syntactic structure of the source language. The analyses revealed that the proportion of missing translations is high when the speech rate is high, and the delay of interpretation is large, i.e., adverbs were missing in the translations in a high proportion; the words at deeper positions in the syntactic structure were more likely to be missed.
DOI： 10.50837/its.1808
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Effect of Translating on Working Memory Load in Simultaneous Interpreting International journal
RYU Koichiro, MATSUBARA Shigeki
Interpreting and Translation Studies: The Journal of the Japan Association for Interpreting and Translation Studies Vol. 18 ( 0 ) page： 147 - 158 2018
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Language：Japanese Publishing type：Research paper (scientific journal) Publisher：The Japan Association for Interpreting and Translation Studies
By employing corpus-based analyses of English-Japanese simultaneous interpretation, we discuss the influence translations have on the working memory load of simultaneous interpreters. To conduct a quantitative analysis with a large corpus, we used the Simultaneous Interpretation Database of Nagoya University. We analyzed a total of 88 sets of simultaneous interpretations of 22 different lectures in English given by 17 interpreters. When the load on the working memory of simultaneous interpreters is increased, the speech time increases, the translation rate decreases, but the average speech rate does not exhibit a relevant change.
DOI： 10.50837/its.1809
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Model-theoretic incremental interpretation based on discourse representation theory
Kato Y., Matsubara S.
Proceedings of the 32nd Pacific Asia Conference on Language, Information and Computation, PACLIC 2018 page： 254 - 262 2018
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Language：English Publishing type：Research paper (scientific journal) Publisher：Proceedings of the 32nd Pacific Asia Conference on Language, Information and Computation, PACLIC 2018
This paper proposes a model-theoretic approach to incremental interpretation where allsentence prefixes have semantic values. Theproposed semantics is based on DiscourseRepresentation Theory (DRT), where semantic representations (called DRSs) are interpreted as assignment updates. In our semantics, a partial DRS of a sentence prefix is interpreted as two sets which stipulate the assignment updates. One denotes possible updatesand the other denotes necessary updates. Withthe proposed semantics, we can assign truthvalues to sentence prefixes.
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Cai, ZX; Ryu, K; Matsubara, S
PROCEEDINGS OF THE ELEVENTH INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION (LREC 2018) page： 4282 - 4288 2018
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Correcting Syntactic Annotation Errors Based on Tree Mining Reviewed
Kanta Suzuki, Yoshihide Kato, Shigeki Matsubara
IEICE Transactions on Information and Systems Vol. E100-D ( 5 ) page： 1106-1113 2017.5
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Language：English Publishing type：Research paper (scientific journal)
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Collection of responsive utterances to show attentive hearing attitude to speakers
Tomohiro Ohno, Masaki Murata, Shigeki Matsubara
Proceedings of the 11th International Conference on Ubiquitous Information Management and Communication (IMCOM-2017) ( 31 ) 2017.1
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Language：Japanese Publishing type：Research paper (scientific journal)
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対話コーパスを用いた相づち生成タイミングの検出 Reviewed
大野誠寛，神谷優貴，松原茂樹
電子情報通信学会論文誌 Vol. J100-A ( 1 ) page： 53-65 2017.1
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Left-Corner Parsing for Identifying PTB-Style Nonlocal Dependencies
Kato Yoshihide, Matsubara Shigeki
Journal of Natural Language Processing Vol. 24 ( 3 ) page： 371 - 394 2017
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Language：English Publishing type：Research paper (scientific journal) Publisher：The Association for Natural Language Processing
<p>Nonlocal dependencies represent syntactic phenomenon such as wh-movement, A-movement in passives, topicalization, raising, control, and right node raising. Nonlocal dependencies play an important role in semantic interpretation. This paper proposes a left-corner parser that identifies nonlocal dependencies. Our parser integrates nonlocal dependency identification into a transition-based system. We adopt a left-corner strategy in order to use the syntactic relation c-command, which plays an important role in nonlocal dependency identification. To utilize the global features captured by nonlocal dependencies, our parser uses a structured perceptron. In experimental evaluations, our parser achieved a good balance between constituent parsing and nonlocal dependency identification. </p>
DOI： 10.5715/jnlp.24.371
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Incremental Semantic Construction Based on Combinatory Categorial Grammar Reviewed
Yoshihide Kato, Shigeki Matsubara
IEICE Transactions on Information and Systems Vol. E99-D ( 9 ) page： 2368-2376 2016.9
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Language：English Publishing type：Research paper (scientific journal)
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Transition-Based Left-Corner Parsing for Identifying PTB-Style Nonlocal Dependencies Reviewed
Yoshihide Kato, Shigeki Matsubara
Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (ACL-2016) page： 930-940 2016.8
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係り受け解析との同時実行に基づく日本語文の語順整序 Reviewed
大野誠寛，吉田和史，加藤芳秀，松原茂樹
電子情報通信学会論文誌 Vol. J99-D ( 2 ) page： 201-213 2016.2
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Language：Japanese Publishing type：Research paper (scientific journal)
日本語は語順が比較的自由であるといわれているが，語順に関する選好がないわけではない．そのため，文法的には間違っていないものの読みにくい語順をもった文が作成されることがある．本論文では，読みにくい語順の日本語文に対して，読みやすい語順となるように文節を並べ替える手法を提案する．本手法は，係り受け構造が付与されていない文を入力とし，係り受け解析と語順整序を同時に行う．係り受けと語順の適切さを同時に考慮することにより，読みやすい語順に精度よく整えることができる．評価実験では，文法的には間違っていないものの読みにくい語順をもつ文を新聞記事から擬似的に552文作成し，それらに対して語順整序を実行した．元の新聞記事文の語順を正解としたときの，語順整序結果との一致を測定した結果，本手法による語順整序結果は，比較のために設定した二つのベースラインと比べ高い正解率（83.82%）を達成しており，本手法の有効性を確認した．
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Automatic Extraction of Task Statements from Structured Meeting Content Reviewed
Katashi Nagao, Kei Inoue, Naoya Morita, Shigeki Matsubara
Proceedings of the 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management. (KDIR-2015) page： 307-315 2015.11
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Japanese Word Reordering Executed Concurrently with Dependency Parsing and Its Evaluation Reviewed
Tomohiro Ohno, Kazushi Yoshida, Yoshihide Kato, Shigeki Matsubara
Proceedings of the 15th European Workshop on Natural Language Generation (ENLG2015), Association for Computational Linguistics page： 61-65 2015.9
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Incremental Semantic Construction Using Normal Form CCG Derivation Reviewed
Yoshihide Kato, Shigeki Matsubara
Proceedings of the 4th Joint Conference on Lexical and Computational Semantics (*SEM2015), Association for Computational Linguistics page： 269-278 2015.6
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文節間の依存・非依存を同定する漸進的係り受け解析 Reviewed
大野誠寛, 松原茂樹
電子情報通信学会論文誌 Vol. D-98 ( 4 ) page： 709-718 2015.4
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Language：Japanese Publishing type：Research paper (scientific journal)
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Identifying Nonlocal Dependencies in Incremental Parsing Reviewed
Yoshihide Kato, Shigeki Matsubara
IEICE Transations on Information and Systems Vol. E98-D ( 4 ) page： 994-998 2015.4
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Language：English Publishing type：Research paper (scientific journal)
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Japanese Word Reordering Integrated with Dependency Parsing Reviewed
Kazushi Yoshida, Tomohiro Ohno, Yoshihide Kato, Shigeki Matsubara
Proceedings of the 25th International Conference on Computational Linguistics (COLING2014) page： 1186-1196 2014.8
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自然なニュース音声の自動生成に向けた体言止めの文への文末表現の補完 Reviewed
松原茂樹, 村田匡輝
電子情報通信学会論文誌 Vol. D-97 ( 1 ) page： 181-185 2014.1
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Dependency Structure for Incremental Parsing of Japanese and its Application Invited Reviewed
Tomohiro Ohno, Shigeki Matsubara.
Proceedings of the 13th International Conference on Parsing Technologies (IWPT-2013), Association for Computational Linguistics page： 91-97 2013.11
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Collocation Extraction Using a PMI-Based Association Measure for Dependency Tree Pattern Reviewed
Hiroki Takayama, Yoshihide Kato, Tomohiro Ohno, Shigeki Matsubara, Yoshiharu Ishikawa
Proceedings of 10th Symposium on Natural Language Processing (SNLP-2013) page： 136-141 2013.10
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講演のリアルタイム字幕生成のための逐次的な改行挿入 Reviewed
大野 誠寛，村田 匡輝，松原 茂樹
電気学会論文誌 Vol. 133-C ( 2 ) page： 418-426 2013.2
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Language：Japanese Publishing type：Research paper (scientific journal)
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Design and Collection of Ontological Metadata for Enhancing Interoperability of Language Resources Reviewed
Shunsuke Kozawa, Hitomi Tohyama, Kiyotaka Uchimoto, Shigeki Matsubara, Hitoshi Isahara
International Journal of Knowledge and Web Intelligence Vol. 3 ( 3 ) page： 206-223 2012.12
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同時通訳システムの現状と課題 Invited
松原 茂樹
通訳翻訳研究 ( 12 ) page： 21-30 2012.12
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読点の用法的分類に基づく日本語テキストへの自動読点挿入 Reviewed
村田 匡輝, 大野 誠寛，松原 茂樹
電子情報通信学会論文誌 Vol. J95-D ( 9 ) page： 1783-1793 2012.9
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言語資源の用途情報の獲得と利用 Reviewed
小澤 俊介, 遠山 仁美，内元 清貴, 松原 茂樹
電子情報通信学会論文誌 Vol. J95-A ( 7 ) page： 611-622 2012.7
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Language：Japanese Publishing type：Research paper (scientific journal)
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Personalized Text Formatting for E-mail Messages Reviewed
Masaki Murata, Tomohiro Ohno, Shigeki Matsubara
Intelligent Interactive Multimedia: Systems and Services, SIST Vol. 14 page： 459-468 2012.5
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Personalization of News Speech Delivery Service based on Transformation from Written Language to Spoken Language Reviewed
Shigeki Matsubara, Yukiko Hayashi
Intelligent Interactive Multimedia: Systems and Services, SIST Vol. 14 page： 449-457 2012.5
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モノの使われ方の情報がノウハウ獲得に与える影響 Reviewed
小澤 俊介, 内元 清貴, 松原 茂樹
電子情報通信学会論文誌 Vol. J95-D ( 3 ) page： 506-517 2012.3
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Language：Japanese Publishing type：Research paper (scientific journal)
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Detection of Favorite Phrases from Conversational Speech Reviewed
Tomohiro Ohno, Shigeki Matsubara
page： 163-167 2012.2
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Corpus-based Analysis of Simultaneous Interpreters' Speech Rates Reviewed
Koichiro Ryu, Haibei Yu, Shigeki Matsubara
Proceedings of 9th International Symposium on Natural Language Processing page： 110-114 2012.2
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Automatic Acquisition of Useful English Expressions Using Dependency Relations Reviewed
Yoshihide Kato, Kazuhide Kuzuhara, Shigeki Matsubara
Proceedings of 9th International Symposium on Natural Language Processing page： 45-48 2012.2
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Language：English
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外出行動前のユーザへの情報提供を目的としたWebからのアドバイス文抽出 Reviewed
小澤 俊介, 岡本 昌之, 長野 伸一, 長 健太, 松原 茂樹
情報処理学会論文誌 Vol. 53 ( 1 ) page： 105-116 2012.1
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Acquisition of Know-How Information from Web Reviewed
Shunsuke Kozawa, Kiyotaka Uchimoto, Shigeki Matsubara
Proceedings of 7th Asia Information Retrieval Societies Conference Vol. 7097 page： 446-457 2011.12
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Automatic Text Formatting for Social Media based on Linefeed and Comma Insertion Reviewed
Masaki Murata, Tomohiro Ohno, Shigeki Matsubara
Intelligent Interactive Multimedia Systems and Services, Proceedings of the 4th International Conference on Intelligent Interactive Multimedia Systems and Services (IIMSS-2011), Smart Innovation Systems and Technologies Vol. 11 page： 285-294 2011.7
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Advice Extraction fromWeb for Providing Prior Information Concerning Outdoor Activities Reviewed
Shunsuke Kozawa, Masayuki Okamoto, Shinichi Nagano, Kenta Cho, Shigeki Matsubara
Intelligent Interactive Multimedia Systems and Services, Proceedings of the 4th International Conference on Intelligent Interactive Multimedia Systems and Services (IIMSS-2011), Smart Innovation Systems and Technologies Vol. 11 page： 251-260 2011.7
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安定性を備えたあいづちコーパスの設計と評価 Reviewed
大野 誠寛, 神谷 優貴，松原 茂樹
電子情報通信学会論文誌 Vol. J94-D ( 3 ) page： 623-627 2011.3
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Language：Japanese Publishing type：Research paper (scientific journal)
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Automatic Comma Insertion for Japanese Text Generation Reviewed
Masaki Murata, Tomohiro Ohno, Shigeki Matsubara
Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing (EMNLP-2010) page： 892-901 2010.10
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Coherent Back-Channel Feedback Tagging of In-Car Spoken Dialogue Corpus Reviewed
Yuki Kamiya, Tomohiro Ohno, Shigeki Matsubara
Proceedings of 11th Annual SIGdial Meeting on Discourse and Dialogue (ACL SIGDIAL-2010) page： 205-208 2010.9
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Correcting Syntactic Annotation Errors Using a Synchronous Tree Substitution Grammar Reviewed
Yoshihide Kato, Shigeki Matsubara
IEICE Transactions on Information and Systems Vol. E93-D ( 9 ) page： 2660-2663 2010.9
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Language：English Publishing type：Research paper (scientific journal)
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Translation Unit for Simultaneous Japanese-English Spoken Dialogue Translation Reviewed
Koichiro Ryu, Shigeki Matsubara, Yasuyoshi Inagaki
Proceedings of 2nd KES International Symposium on Intelligent Decision Technologies (KES-IDT-2010) page： 475--484 2010.7
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Construction of Linefeed Insertion Rules for Lecture Transcript and their Evaluation Reviewed
Masaki Murata, Tomohiro Ohno, Shigeki Matsubara
International Journal of Knowledge and Web Intelligence Vol. 1 ( 3/4 ) page： 227-242 2010.7
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Language：English Publishing type：Research paper (scientific journal)
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Product Retrieval based on Semantic Similarity of Consumer Reviews to Natural Language Query Reviewed
Kenji Sugiki, Shigeki Matsubara
International Journal of Knowledge and Web Intelligence Vol. 1 ( 3/4 ) page： 210-226 2010.7
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Language：English Publishing type：Research paper (scientific journal)
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Correcting Errors in a Treebank Based on Synchronous Tree Substitution Grammar Reviewed
Yoshihide Kato, Shigeki Matsubara
Proceedings of the 48th Conference of Association for Computational Linguistics (ACL-2010) page： 74-79 2010.7
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Automatic Extraction of Phrasal Expressions for Supporting English Academic Writing Reviewed
Shunsuke Kozawa, Yuta Sakai, Kenji Sugiki, Shigeki Matsubara
Proceedings of 2nd KES International Symposium on Intelligent Decision Technologies (KES-IDT-2010) page： 485--493 2010.7
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Construction of Back-Channel Utterance Corpus for Responsive Spoken Dialogue System Development Reviewed
Yuki Kamiya, Tomohiro Ohno, Shigeki Matsubara
Proceedings of 7th International Language Resources and Evaluation (LREC-2010) page： 2414-2419 2010.5
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Collection of Usage Information for Language Resources from Academic Articles Reviewed
Shunsuke Kozawa, Hitomi Tohyama, Kiyotaka Uchimoto, Shigeki Matsubara
Proceedings of 7th International Language Resources and Evaluation (LREC-2010) page： 1227-1232 2010.5
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Construction of Chunk-Aligned Bilingual Lecture Corpus for Simultaneous Machine Translation Reviewed
Masaki Murata, Tomohiro Ohno, Shigeki Matsubara, Yasuyoshi Inagaki
Proceedings of 7th International Language Resources and Evaluation (LREC-2010) page： 1765-1770 2010.5
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Utilization of Usage Information for Language Resource Searches Reviewed
Shunsuke Kozawa, Hitomi Tohyama, Kiyotaka Uchimoto, Shigeki Matsubara
Proceedings of 2nd International Conference on Global Interoperability for Language Resources (ICGL-2010) page： 91-94 2010.1
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同時通訳者の話速に影響を及ぼす要因の定量的分析 Reviewed
笠 浩一朗, 于 海貝, 松原 茂樹
通訳翻訳研究（日本通訳翻訳学会誌） ( 9 ) page： - 2009.12
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Language：Japanese Publishing type：Research paper (scientific journal)
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*Incremental Parsing with Adjoining Operation Reviewed
Yoshihide Kato, Shigeki Matsubara
IEICE Transactions on Information and Systems Vol. E92-D ( 12 ) page： 2306-2312 2009.12
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Language：English Publishing type：Research paper (scientific journal)
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Cross-lingual English Sentence Retrieval Considering Syntactic Structures of Japanese Queries Reviewed
Kazuya Kuzuhara, Yoshihide Kato, Shigeki Matsubara
Proceedings of 8th International Symposium on Natural Language Processing (SNLP-2009) page： 128-131 2009.10
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Acquisition of Useful Expressions from English Research Papers Reviewed
Yuta Sakai, Kenji Sugiki, Shigeki Matsubara
Proceedings of 8th International Symposium on Natural Language Processing (SNLP-2009) page： 59-62 2009.10
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*読みやすい字幕生成のための講演テキストへの改行挿入 Reviewed
村田 匡輝, 大野 誠寛, 松原 茂樹
電子情報通信学会論文誌 Vol. J92-D ( 9 ) page： 1621-1631 2009.9
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字幕テキストにおいて読みやすい位置に改行を挿入する技術を提案した。大野誠寛（国際開発研究科）との共同研究
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Incremental Parsing with Monotonic Adjoining Operation Reviewed
Yoshihide Kato, Shigeki Matsubara
Proceedings of the 47th Annual Meeting of the Association for Computational Linguistics and the 4th International Joint Conference on Natural Language Processing (ACL-IJCNLP-2009 Short Papers) page： 41-44 2009.8
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Linefeed Insertion into Japanese Spoken Monologue for Captioning Reviewed
Tomohiro Ohno, Masaki Murata,Shigeki Matsubara
Proceedings of the 47th Annual Meeting of the Association for Computational Linguistics and the 4th International Joint Conference on Natural Language Processing (ACL-IJCNLP-2009) page： 531-539 2009.8
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Automatic Linefeed Insertion for Improving Readability of Lecture Transcript Reviewed
Masaki Murata,Tomohiro Ohno, Shigeki Matsubara
Ernesto Damiani, Jechang Jeong, Robert J. Howlett, and Lakhmi C. Jain (Eds.): New Directions in Intelligent Interactive Multimedia Systems and Services, Studies in Computer Science Vol. 226 page： 499-509 2009.7
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Text-Style Conversion of Speech Transcript into Web Document for Lecture Archive Reviewed
Masashi Ito,Tomohiro Ohno, Shigeki Matsubara
Journal of Advanced Computational Intelligence and Intelligent Informatics Vol. 13 ( 4 ) page： 499-505 2009.7
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Language：English Publishing type：Research paper (scientific journal)
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Predicate Paraphrasing of Newspaper Articles for In-Vehicle On-demand News Speech Delivery System Reviewed
Shigeki Matsubara, Yukiko Hayashi, Kenji Sugiki, Nobuo Kawaguchi
Proceedings of 4th Biennial Workshop on DSP for In-Vehicle Systems and Safety page： 20 2009.6
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*英日同時翻訳のための依存構造に基づく訳文生成手法 Reviewed
笠 浩一朗，松原 茂樹，稲垣 康善
電子情報通信学会論文誌 Vol. J92-D ( 6 ) page： 921-933 2009.6
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Language：Japanese Publishing type：Research paper (scientific journal)
英日同時通訳のための訳文生成手法を提案。
笠浩一朗（国際開発研究科）との共同研究。 -
Underground Positioning: Subway Information System using WiFi Location Technology Reviewed
Nobuo Kawaguchi, Motoki Yano, Shogo Ishida, Takeshi Sasaki, Yohei Iwasaki, Kenji Sugiki, Shigeki Matsubara
Proceeding of the 10th International Conference on Mobile Data Management (MDM-2009) page： 371-372 2009.5
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*依存構造に基づく用例文検索手法とその評価 Reviewed
加藤 芳秀，江川 誠二，松原 茂樹，稲垣 康善
Vol. J92-D ( 3 ) page： 417-427 2009.3
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Language：Japanese Publishing type：Research paper (scientific journal)
知的英文検索のためのアルゴリズムの提案。
加藤芳秀（情報基盤センター・研究員）との共同研究。 -
Text Editing for Lecture Speech Archiving on the Web Reviewed
Masashi Ito,Tomohiro Ohno, Shigeki Matsubara
ICCPOL2009: Computer Processing of Oriental Language, Lecture Note in Artificial Intelligence Vol. 5459 page： 362-369 2009.3
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節の始境界検出に基づく独話文の係り受け解析 Reviewed
大野 誠寛、松原 茂樹、柏岡 秀紀、稲垣 康善
情報処理学会論文誌 Vol. 50 ( 02 ) page： 553-562 2009.2
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Language：Japanese Publishing type：Research paper (scientific journal)
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Sentence Compression by Removing Recursive Structure from Parse Tree Reviewed
Seiji Egawa, Yoshihide Kato, Shigeki Matsubara
PRICAI 2008: Trends in Artificial Intelligence, Lecture Note in Artificial Intelligence Vol. 5351 page： 115-127 2008.12
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Language：English
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Sentence Compression by Structural Conversion of Parse Tree Reviewed
Seiji Egawa, Yoshihide Kato, Shigeki Matsubara
Proceedings of 3rd International Conference on Digital Information Management (ICDIM-2008) page： 544-550 2008.11
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*A Product Retrieval System Robust to Subjective Queries Reviewed
Kenji Sugiki, Shigeki Matsubara
International Journal of Product Lifecycle Management Vol. 3 ( 2/3 ) page： 151-164 2008.11
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Language：English Publishing type：Research paper (scientific journal)
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English Sentence Retrieval System Based on Dependency Structure and its Evaluation Reviewed
Yoshihide Kato, Seiji Egawa, Shigeki Matsubara, Yasuyoshi Inagaki
Proceedings of 3rd International Conference on Digital Information Management (ICDIM-2008) page： 279-285 2008.11
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Language：English
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Dependency Parsing of Japanese Spoken Monologue Based on Clause-Starts Detection Reviewed
Tomohiro Ohno, Shigeki Matsubara, Hideki Kashioka and Yasuyoshi Inagaki
Proceedings of 8th Interspeech Conference (INTERSPEECH-2008) page： 2454-2457 2008.9
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Automatic Editing of Spoken Document for Intelligent Speech Archive Reviewed
Masashi Ito, Tomohiro Ohno, Shigeki Matsubara
Proceedings of SCIS Conference (SCIS-2008) page： 364-369 2008.9
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Construction of an Infrastructure for Providing Users with Suitable Language Resources Reviewed
Hitomi Tohyama, Shunsuke Kozawa, Kiyotaka Uchimoto, Shigeki Matsubara and Hitoshi Isahara
Proceedings of 23th International Conference on Computational Linguistics (COLING-2008) page： 119-122 2008.8
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消費者の意見に基づく商品検索 Reviewed
杉木 健二，松原 茂樹
情報処理学会論文誌 Vol. 49 ( 7 ) page： 2598-2603 2008.7
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Language：Japanese Publishing type：Research paper (scientific journal)
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英文作成支援ツールとしての用例文検索システムESCORT Invited Reviewed
松原 茂樹、加藤 芳秀、江川 誠二
情報管理 Vol. 51 ( 4 ) page： 251-259 2008.7
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同時通訳の工学と科学 －次世代自動通訳技術の実現に向けて－ Invited Reviewed
松原 茂樹
情報処理 Vol. 51 ( 6 ) page： 617-623 2008.6
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Construction and Analysis of Word-level Time-aligned Simultaneous Interpretation Corpus Reviewed
Takahiro Ono, Hitomi Tohyama, and Shigeki Matsubara
Proceeding of 6th International Conference on Language Resouces and Evaluation (LREC-2008) page： - 2008.5
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Language：English
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Shunsuke Kozawa, Hitomi Tohyama, Kiyotaka Uchimoto, and Shigeki Matsubara Reviewed
Automatic Acquisition of Usage Information for Language Resources
Proceeding of 6th International Conference on Language Resouces and Evaluation (LREC-2008) page： - 2008.5
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Language：English
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Construction of a Metadata Database for Efficient Development and Use of Language Resources Reviewed
Hitomi Tohyama, Shunsuke Kozawa, Kiyotaka Uchimoto, Shigeki Matsubara and Hitoshi Isahara
Proceeding of 6th International Conference on Language Resouces and Evaluation (LREC-2008) page： - 2008.5
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Language：English
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SHACHI: A Large Scale Metadata Database of Language Resources Reviewed
Hitomi Tohyama, Shunsuke Kozawa, Kiyotaka Uchimoto, Shigeki Matsubara and Hitoshi Isahara
Proceedings of 1st International Conference on Global Interoperability for Language Resources (ICGL-2008) page： 205-212 2008.1
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Simultaneous Machine Interpretation using Finite State Transducer Reviewed
Koichiro Ryu, Shigeki Matsubara and Yasuyoshi Inagaki
Proceedings of 7th International Symposium on Natural Language Processing page： 239-244 2007.12
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Language：English
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英日同時通訳者発話におけるフィラーの出現と聴きやすさとの関係 Reviewed
遠山 仁美，松原 茂樹
通訳研究（日本通訳学会誌） Vol. 7 page： 39-49 2007.12
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Language：Japanese Publishing type：Research paper (scientific journal)
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大規模音声コーパスを用いた日英・英日同時通訳における訳出遅延の比較分析 Reviewed
小野 貴博，遠山 仁美，松原 茂樹
通訳研究（日本通訳学会誌） Vol. 7 page： 51-64 2007.12
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Language：Japanese Publishing type：Research paper (scientific journal)
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Sentence-Style Conversion of Japanese News Article for Text-to-Speech Application Reviewed
Yukiko Hayashi, Shigeki Matsubara
Proceedings of 7th International Symposium on Natural Language Processing page： 257-262 2007.12
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Language：English
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PARSEVAL measures に基づく漸進的構文解析の定量的評価 Reviewed
加藤 芳秀，松原 茂樹，稲垣 康善
電子情報通信学会論文誌 Vol. J90-D ( 10 ) page： 2545-2549 2007.10
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Authorship：Lead author Language：Japanese Publishing type：Research paper (scientific journal)
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A Product Retrieval System Robust to Subjective Queries Reviewed
Kenji Sugiki, Shigeki Matsubara
Proceedings of 2nd IEEE International Conference on Digital Information Management page： 111-122 2007.10
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Language：English
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Simultaneous Summarization of Japanese Spoken Monologue for Real-time Captioning Reviewed
Tomohiro Ohno, Shigeki Matsubara, Hideki Kashioka, Yasuyoshi Inagaki
Proceedings of 2007 IEEE Natural Language Processing and Knowledge Engineering page： 373-380 2007.9
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Language：English
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Dependency Parsing of Japanese Monologue Using Clause Boundaries Reviewed
Tomohiro Ohno, Shigeki Matsubara, Hideki Kashioka, Takehiko Maruyama, Hideki Tanaka and Yasuyoshi Inagaki
Language Resources and Evaluation Vol. 40 ( 3/4 ) page： 263-279 2007.7
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Spoken monologues feature greater sentence length and structural complexity than spoken dialogues. To achieve high-parsing performance for spoken monologues, simplifying the structure by dividing a sentence into suitable language units could prove effective. This paper proposes a method for dependency parsing of Japanese spoken monologues based on sentence segmentation. In this method, dependency parsing is executed in two stages: at the clause level and the sentence level. First, dependencies within a clause are identified by dividing a sentence into clauses and executing stochastic dependency parsing for each clause. Next, dependencies across clause boundaries are identified stochastically, and the dependency structure of the entire sentence is thus completed. An experiment using a spoken monologue corpus shows the effectiveness of this method for efficient dependency parsing of Japanese monologue sentences.
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節境界に基づく独話の漸進的係り受け解析, Reviewed
大野 誠寛，松原 茂樹，柏岡 秀紀，加藤 直人，稲垣 康善
電子情報通信学会論文誌 Vol. J90-D ( 2 ) page： 556-566 2007.2
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依存構造に基づくコーパス検索
加藤 芳秀，松原 茂樹，稲垣 康善
電子情報通信学会論文誌 Vol. J89-D ( 12 ) page： 2766-2770 2006.12
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キーワード系列の入力に対して，系列中のキーワー ドがコーパス内の各文において形成する依存構造パ ターンを同定し，パターンごとに検索結果を分類す る用例文検索を提案する．文の構文的構造を活用し た用例文検索が実現できる．
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訳出遅延時間と訳出開始タイミングに着目した同時通訳者の話者発話追従ストラテジーに関する分析 Reviewed
遠山 仁美，松原 茂樹
通訳研究(日本通訳学会誌） ( 6 ) page： 113-128 2006.12
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Language：Japanese Publishing type：Research paper (scientific journal)
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Influence of Pause Length on Listeners' Impressions in Simultaneous Interpretation Reviewed
Hitomi Tohyama, Shigeki Matsubara
Proceedings of 9th International Conference on Spoken Language Processing page： 893-896 2006.9
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Language：English
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Dependency Parsing of Japanese Spoken Monologue Based on Clause Boundaries Reviewed
Tomohiro Ohno, Shigeki Matsubara, Hideki Kashioka, Takehiko Maruyama, Yasuyoshi Inagaki
Proceedings of Joint 21th International Conference on Computational Linguistics and 44th Annual Meeting of the Association for Computational Linguistics page： 169-176 2006.7
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Language：English
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Simultaneous English-Japanese Spoken Language Translation Based on Incremental Dependency Parsing and Transfer Reviewed
Koichro Ryu, Shigeki Matsubara, Yasuyoshi Inagaki
Proceedings of Joint 21th International Conference on Computational Linguistics and 44th Annual Meeting of the Association for Computational Linguistics page： 683-690 2006.7
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This paper proposes a method for incrementally translating English spoken language into Japanese. To realize simultaneous translation between languages with different word order, such as English and Japanese, our method utilizes the feature that the word order of a target language is flexible. To resolve the problem of generating a grammatically incorrect sentence, our method uses dependency structures and Japanese dependency constraints to determine the word order of a translation.Moreover, by considering the fact that the inversion of predicate expressions occurs more frequently in Japanese spoken
language, our method takes advantage of a predicate inversion to resolve the problem that Japanese has the predicate at the end of a sentence. Furthermore, our
method includes the function of canceling an inversion by restating a predicate when the translation is incomprehensible due to the inversion. We implement a prototype translation system and conduct an experiment with all 578 sentences in the ATIS corpus. The results ndicate improvements in comparison to two other methods. -
Development of Web-based Teaching Material for Simultaneous Interpreting Learners using Bilingual Speech Corpus Reviewed
Hitomi Tohyama, Shigeki Matsubara
Proceedings of World Conference on Educational Multimedia, Hypermedia & Telecommunications page： 2906-2911 2006.6
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Language：English
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Collection of Simultaneous Interpreting Patterns by Using Bilingual Spoken Monologue Corpus Reviewed
Hitomi Tohyama, Shigeki Matsubara
Proceedings of 5th International Conference on Language Resources and Evaluation page： 2564-2569 2006.5
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Language：English
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Layered Speech-Act Annotation for Spoken Dialogue Corpus Reviewed
Yuki Irie, Shigeki Matsubara, Nobuo Kawauguchi, Yukiko Yamaguchi, Yasuyoshi Inagaki
Proceedings of 5th International Conference on Language Resources and Evaluation page： 1584-1589 2006.5
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Language：English
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A Syntactically Annotated Corpus of Japanese Spoken Monologue Reviewed
Tomohiro Ohno, Shigeki Matsubara, Hideki Kashioka, Naoto Kato, Yasuyoshi Inagaki
Proceedings of 5th International Conference on Language Resources and Evaluation page： 1590-1595 2006.5
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Language：English
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A Corpus Search System Utilizing Lexical Dependency Structure Reviewed
Yoshihide Kato, Shigeki Matsubara, Yasuyoshi Inagaki
Proceedings of 5th International Conference on Language Resources and Evaluation page： 2269-2272 2006.5
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Language：English
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Legal Document Summarization using Judicial Precedent Corpus Reviewed
Shinji Banno, Shigeki Matsubara, Masatoshi Yoshikawa
Proceedings of 6th Symposium on Natural Language Processing page： 43-48 2005.12
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Language：English
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同時通訳における聴きやすさとポーズの関係, －同時通訳コーパスを用いた被験者実験による分析－ Reviewed
遠山 仁美、松原 茂樹
通訳研究(日本通訳学会誌） ( 5 ) page： 137-155 2005.12
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Language：Japanese Publishing type：Research paper (scientific journal)
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Dialogue Structure Annotation of In-car Speech Corpus based on Speech-Act Tag Reviewed
Shingo Kato, Shigeki Matsubara, Yukiko Yamaguchi, Nobuo Kawaguchi
Proceedings of International Conference on Speech Databases and Assessment page： 159-163 2005.12
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Language：English
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Interpreting Unit Segmentation of Conversational Speech in Simultaneous Interpretation Corpus Reviewed
Zhe Ding, Koichiro Ryu, Shigeki Matsubara, Masatoshi Yoshikawa
Proceedings of International Conference on Speech Databases and Assessment page： 148-152 2005.12
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Language：English
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Construction of Web Directory Using Hyperlink and Anchor Text Reviewed
Yusuke Suzuki, Shigeki Matsubara and Masatoshi Yoshikawa
Proceedings of 2005 IEEE International Conference on Natural Language Processing and Knowledge Engineering (NLP-KE-2005) page： 614-619 2005.10
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Authorship：Lead author Language：English
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音声対話コーパスにおける発話意図タグの設計と評価 Reviewed
入江友紀、松原茂樹、河口信夫、山口由紀子、稲垣康善
電子情報通信学会論文誌 Vol. J88-D-II ( 10 ) page： 2169-2173 2005.10
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Language：English
発話意図タグの設計と評価について述べる．設計した意図タグは，詳細度に応じて階層化している．名古屋大学CIAIR車内音声対話コーパスの約35,000発話に意図タグを付与した．信頼性を評価するため，コーパスの一部を用いてタグ付与実験を実施した．
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Construction of Structurally Annotated Spoken Dialogue Corpus Reviewed
Shingo Kato, Shigeki Matsubara, Yukiko Yamaguchi, Nobuo Kawaguchi
Proceedings of IJCNLP-2005 Workshop on Asian Language Resources (ALR-2005) page： 40-47 2005.10
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Language：English
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Incremental Dependency Parsing of Japanese Spoken Monologue based on Clause Boundaries Reviewed
Tomohiro Ohno, Shigeki Matsubara, Hideki Kashioka, Naoto Kato, and Yasuyoshi Inagaki
Proceedings of 9th European Conference on Speech Communication and Technology(Eurospeech-2005) page： 3449-3452 2005.9
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Language：English
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Towards Robust Spoken Dialogue System Using Large-Scale In-car Speech Corpus Reviewed
Yukiko Yamaguchi, Keita Hayashi, Takahiro Ono, Shingo Kato, Yuki Irie, Tomohiro Ohno, Hiroya Murao, Shigeki Matsubara, Nobuo Kawaguchi, Kazuya Takeda
Proceedings of Workshop on DSP for in-Vehicle and Mobile Systems Vol. Online 2005.9
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Language：English
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Construction and Utilization of Bilingual Speech Corpus for Simultaneous Machine Interpretation Research Reviewed
Hitomi Tohyama, Shigeki Matsubara, Nobuo Kawaguchi, and Yasuyoshi Inagaki
Proceedings of 9th European Conference on Speech Communication and Technology(Eurospeech-2005) page： 1585-1588 2005.9
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Language：English
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Hierarchical Organization of Web Documents based on Hypertext Classification Reviewed
Yusuke Suzuki, Shigeki Matsubara, and Masatoshi Yoshikawa
Proceedings of International Advanced Digital Library Conference page： 59-71 2005.8
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Language：English
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Analysis of a Large In-Car Speech Corpus Reviewed
Hiroshi Fujimura, Nobuo Kawaguchi, Shigeki Matsubara, Katsunobu Itou, and Kazuya Takeda
Proceedings of ICDE International Workshop on Realworld Multimedia Corpora in Mobile Environment (RMCinME) page： - 2005.4
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Language：English
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Robust Dependency Parsing of Spontaneous Japanese Spoken Language Reviewed
Tomohiro Ohno, Shigeki Matsubara, Nobuo Kawaguchi, and Yasuyoshi Inagaki
IEICE Transactions on Information and Systems Vol. E88-D ( 3 ) page： 545-552 2005.3
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Language：English Publishing type：Research paper (scientific journal)
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CIAIR in-car Speech Corpus -Influence of Driving Status- Reviewed
Nobuo Kawaguchi, Shigeki Matsubara, Kazuya Takeda and Fumitada Itakura
IEICE Transactions on Information and Systems Vol. E88-D ( 3 ) page： 578-582 2005.3
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Construction and Evaluation of a Large in-car Speech Corpus Reviewed
Kazuya Takeda, Hiroshi Fujimura, Katsunobu Itou, Nobuo Kawaguchi, Shigeki Matsubara and Fumitada Itakura
IEICE Transactions on Information and Systems Vol. E88-D ( 3 ) page： 553-561 2005.3
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Example-based Query Generation for Spontaneous Speech Reviewed
Hiroya Murao, Nobuo Kawaguchi, Shigeki Matsubara, Yasuyoshi Inagaki
IEICE Transactions on Information and Systems Vol. E87-D ( 2 ) page： 578-582 2005.2
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Incremental Dependency Parsing Based on Headed Context Free Grammar Reviewed
Yoshihide Kato, Shigeki Matsubara, Katsuhiko Toyama, and Yasuyoshi Inagaki
Systems and Computers in Japan Vol. 36 ( 2 ) page： 84-97 2005.2
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Design and Evaluation of Layered Intention Tag In-Car Speech Corpus Reviewed
Yuki Irie, Shigeki Matsubara, Nobuo Kawaguchi, Yukiko Yamaguchi, Yasuyoshi Inagaki
Proceedings of Oriental-COCOSDA-2004 ( 2 ) 2004.12
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CIAIR Simultaneous Interpretation Corpus Reviewed
Hitomi Tohyama, Shigeki Matsubara, Koichiro Ryu, Nobuo Kawaguchi and Yasuyoshi Inagaki
Proceedings of Oriental-COCOSDA-2004 ( 2 ) 2004.11
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Speech Intention Understanding based on Decision Tree Learning Reviewed
Yuki Irie, Shigeki Matsubara, Nobuo Kawaguchi, Yukiko Yamaguchi and Yasuyoshi Inagaki
Proceedings of 8th International Conference on Spoken Language Processing page： Online 2004.10
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Dialogue Management and Response Generation in Corpus-Based Spoken Dialogue System Reviewed
Keita Hayashi, Yukiko Yamaguchi, Shigeki Matsubara, Nobuo Kawaguchi
Proceedings of 8th International Conference on Spoken Language Processing page： Online 2004.10
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Example-based Spoken Dialogue System with Online Example Augmentation Reviewed
Hiroya Murao, Nobuo Kawaguchi, Shigeki Matsubara, and Yukiko Yamaguchi, Yasuyoshi Inagaki
Proceedings of 8th International Conference on Spoken Language Processing page： Online 2004.10
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CIAIR In-Car Speech Database Reviewed
Nobuo Kawaguchi, Shigeki Matsubara, Yukiko Yamaguchi, Kazuya Takeda and Fumitada Itakura
Proceedings of 8th International Conference on Spoken Language Processing page： Online 2004.10
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Robust Dependency Parsing of Spontaneous Japanese Speech and Its Evaluation Reviewed
Tomohiro Ohno, Shigeki Matsubara, Nobuo Kawaguchi, and Yasuyoshi Inagaki
Proceedings of 8th International Conference on Spoken Language Processing page： Online 2004.10
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Stochastically Evaluating the Validity of Partial Parse Trees in Incremental Parsing Reviewed
Yoshihide Kato, Shigeki Matsubara and Yasuyoshi Inagaki
Proceedings of ACL-2004 Workshop on Incremental Parsing: Bringing Engineering and Cognition Together page： 18-25 2004.7
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Incremental Japanese Spoken Language Generation in Simultaneous Machine Interpretation Reviewed
Koichiro Ryu, Atsushi Mizuno, Shigeki Matsubara, Yasuyoshi Inagaki
Proceedings of Asian Symposium on Natural Language Processing to Overcome language Barriers page： 91-95 2004.3
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In-Car Spoken Dialogue Corpus and Its Application Reviewed
Nobuo Kawaguchi, Shigeki Matsubara, Hiroya Murao, Itsuki Kishida, Yuki Irie, Yukiko Yamaguchi, Kazuya Takeda and Fumitada Itakura
Proceedings of Special Workshop in Maui Lectures by Masters in Speech Processing page： - 2004.1
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同時通訳を介した異言語間対話の時間的特徴--逐次通訳との比較に基づく対訳コーパスの分析 Reviewed
大原 誠，松原 茂樹，笠 浩一朗，河口 信夫，稲垣 康善
通訳研究（日本通訳学会誌） ( 3 ) page： 34-52 2003.12
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Language：Japanese Publishing type：Research paper (scientific journal)
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Bilingual Speech Dialogue Corpus for Simultaneous Machine Interpretation Research Reviewed
Koichiro Ryu, Shigeki Matsubara, Nobuo Kawaguchi and Yasuyoshi Inagaki
Proceedings of Oriental COCOSDA-2003 page： 217-224 2003.11
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An Advanced Japanese Speech Corpus for In-car Spoken Dialogue Research Reviewed
Yuki Irie, Nobuo Kawaguchi, Shigeki Matsubara, Itsuki Kishida, Yukiko Yamaguchi, Kazuya Takeda, Fumitada Itakura and Yasuyoshi Inagaki
Proceedings of Oriental COCOSDA-2003 page： 209-216 2003.11
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Spiral Construction of Syntactically Annotated Spoken Language Corpus Reviewed
Tomohiro Ohno, Shigeki Matsubara, Nobuo Kawaguchi, and Yasuyoshi Inagaki
Proceedings of IEEE International Conference on Natural Language Processing and Knowledge Engineering page： 477-483 2003.10
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Automatic Extraction of Translation Patterns from Bilingual Legal Corpus Reviewed
Makoto Ohara, Shigeki Matsubara, and Yasuyoshi Inagaki
Proceedings of IEEE International Conference on Natural Language Processing and Knowledge Engineering page： 150-157 2003.10
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An Advanced Japanese Speech Corpus for In-car Spoken Dialogue Research Reviewed
Yuki Irie, Nobuo Kawaguchi, Shigeki Matsubara, Itsuki Kishida, Yukiko Yamaguchi, Kazuya Takeda, Fumitada Itakura, and Yasuyoshi Inagaki
Proceedings of 8th European Conference on Speech Communication and Technology Vol. Online 2003.9
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Example-based Spoken Dialogue System using WOZ System Log Reviewed
Hiroya Murao, Nobuo Kawaguchi, Shigeki Matsubara, Yukiko Yamaguchi, and Yasuyoshi Inagaki
Proceedings of 4th ACL SIGDIAL Workshop on Discourse and Dialogue page： 140-148 2003.6
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Construction and Analysis of the Multi-Layered In-car Spoken Dialogue Corpus Reviewed
Itsuki Kishida, Yuki Irie, Yukiko Yamaguchi, Shigeki Matsubara, Nobuo Kawaguchi, and Yasuyoshi Inagaki
Proceedings of Workshop on DSP in Mobile and Vehicular Systems Vol. Online 2003.4
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主辞情報付き文脈自由文法に基づく漸進的な依存構造解析 Reviewed
加藤 芳秀, 松原 茂樹, 外山 勝彦, 稲垣 康善
電子情報通信学会論文誌 Vol. J86-D-II ( 1 ) page： 84-97 2003.1
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確率文脈自由文法に基づく漸進的構文解析 Reviewed
加藤 芳秀, 松原 茂樹, 外山 勝彦, 稲垣 康善
電気学会論文誌 Vol. C ( 12 ) page： 2109-2119 2002.12
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Language：Japanese Publishing type：Research paper (scientific journal)
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Example-based Speech Intention Understanding and Its Application to In-Car Spoken Dialogue System Reviewed
Shigeki Matsubara,Shinichi Kimura, Nobuo Kawaguchi, Yukiko Yamaguchi and Yasuyoshi Inagaki
Proceedings of the 17th International Conference on Computational Linguistics Vol. 2 page： 633-639 2002.8
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Stochastic Dependency Parsing of Spontaneous Japanese Spoken Language Reviewed
Shigeki Matsubara,Takahisa Murase, Nobuo Kawaguchi, and Yasuyoshi Inagaki
Proceedings of 17th International Conference on Computational Linguistics (COLING-2002) Vol. 1 page： 640-645 2002.8
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An Example-based Approach to Speech Intention Understanding Reviewed
Shinichi Kimura, Shigeki Matsubara, Nobuo Kawaguchi, Yukiko Yamaguchi and Yasuyoshi Inagaki
Proceedings of The 6th World Multiconference on Systemics, Cybernetics and Informatics Vol. IX page： 348-353 2002.7
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Design and Development Tool for Telephone-based Network Information System Reviewed
Yukiko Yamaguchi, Kazuaki Ito, Nobuo Kawaguchi, Shigeki Matsubara,and Yasuyoshi Inagaki
Proceedings of the 6th World Multiconference on Systemics, Cybernetics and Informatics ( III ) page： 285-290 2002.7
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音声対話コーパスの収集と利用 -より豊かな車内音声対話システムを目指して- Reviewed
松原 茂樹，河口 信夫，外山 勝彦，武田 一哉
人工知能学会誌 Vol. 17 ( 3 ) page： 279-284 2002.5
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Multi-Dimensional Data Acquisition for Integrated Acoustic Information Research Reviewed
Nobuo Kawaguchi, Shigeki Matsubara, Kazuya Takeda, Fumitada Itakura
Proceedings of 3rd International Language Resources and Evaluation Conference page： 2043-2046 2002.5
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Bilingual Spoken Language Corpus for Simultaneous Machine Interpretation Research Reviewed
Shigeki Matsubara,Akira Takagi, Nobuo Kawaguchi,and Yasuyoshi Inagaki
Proceedings of 3rd International Language Resources and Evaluation Conference page： 153-159 2002.5
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CIAIR speech corpus for real world speech recognition Reviewed
Nobuo Kawaguchi, Kazuya Takeda, Shigeki Matsubara, Ikuya Yokoo, Taisuke Ito, Kiyoshi Tatara, Tetsuya Shinde and Fumitada Itakura
Proceedings of 5th Symposium on Natural Language Processing & Oriental COCOSDA Workshop page： 288-295 2002
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A Corpus-based Analysis of Simultaneous Interpretation Reviewed
Akira Takagi, Shigeki Matsubara, Shigeki Matsubara, Yasuyoshi Inagaki
Proceedings of 5th Symposium on Natural Language Processing & Oriental COCOSDA Worskshop page： 167-174 2002
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Example-based Query Generation for Spontaneous Speech Reviewed
Hiroya Murao, Nobuo Kawaguchi, Shigeki Matsubara and Yasuyoshi Inagaki
Proceedings of IEEE Workshop on Automatic Speech Recognition and nderstanding ( 2001 ) 2001.12
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同時通訳コーパスの設計と構築 Reviewed
松原 茂樹，相澤 靖之，河口 信夫，外山 勝彦，稲垣 康善
通訳研究（日本通訳学会誌） ( 1 ) page： 85-102 2001.12
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Incremental CFG Parsing with Statistical Lexical Dependencies Reviewed
Takahisa Murase, Shigeki Matsubara,Yoshihide Kato and Yasuyoshi Inagaki
Proceedings of Natural Language Processing Pacific Rim Symposium Vol. 6 page： 351-358 2001.10
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Construction of Speech Corpus in Moving Car Environment Reviewed
Nobuo Kawaguchi,Shigeki Matsubara,Kazuya Takeda and Fumitada Itakura
Proceedings of European Conference on Speech Communication and Technology Vol. 7 2001.9
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Interactive Incremental Parsing and Its Application to Multilingual Chat Assistant System Reviewed
Daisuke Mori, Shigeki Matsubara and Yasuyoshi Inagaki
Proceedings of ACIS International Conference on Software Engineering, Artificial Interlligence, Networking and Parallel Distributed Computing Vol. 2 2001.8
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走行車室内音声対話収録システムの開発 Reviewed
河口 信夫，牛窪 誠一，松原 茂樹，梶田 将司，武田 一哉，板倉 文忠
電子情報通信学会論文誌 Vol. J84-D-II ( 6 ) page： 1122-1129 2001.6
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Efficient Incremental Dependency Parsing Reviewed
Yoshihide Kato, Shigeki Matsubara,Katsuhiko Toyama and Yasuyoshi Inagaki
Proceedings of International Workshop on Parsing Technology Vol. 6 2001
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Incremental Parsing for Interactive Natural Language Interface Reviewed
Daisuke Mori, Shigeki Matsubara, Yasuyoshi Inagaki
Proceedings of IEEE International Conference on System, Man and Cybernetics ( 2001 ) page： 2880-2885 2001
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Spoken Language Parsing based on Incremental Disambiguation Reviewed
Yoshihide Kato, Shigeki Matsubara, Katsuhiko Toyama, Yasuyoshi Inagaki
Proceedings of International Conference on Spoken Language Processing Vol. 6 ( 2 ) page： 999-1002 2000.10
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Spoken Language Corpus for Machine Interpretation Research Reviewed
Yasuyuki Aizawa, Shigeki Matsubara, Nobuo Kawaguchi, Katsuhiko Toyama, Yasuyoshi Inagaki
Proceedings of International Conference on Spoken Language Processing Vol. 6 page： 398-401 2000.10
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Construction of Speech Corpus in Moving Car Environment Reviewed
Nobuo Kawaguchi, Shigeki Matsubara, Hiroyuki Iwa, Shoji Kajita, Kazuya Takeda, Fumitada Itakura and Yasuyoshi Inagaki
Proceedings of International Conference on Spoken Language Processing Vol. 6 ( 3 ) page： 362-365 2000.9
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Simultaneous Japanese-English Interpretation based on Early Prediction of English Verbs Reviewed
Shigeki Matsubara, Keiichi Iwashima, Nobuo Kawaguchi, Katsuhiko Toyama, Yasuyoshi Inagaki
Proceedings of Symposium on Natural Language Processing Vol. 4 page： 268-273 2000.5
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Sync/Trans: Simultaneous Machine Interpretation between English and Japanese Reviewed
Shigeki Matsubara, Katsuhiko Toyama, Yasuyoshi Inagaki
Norman Foo (Ed.): Advanced Topics in Artificial Intelligence, Lecture Note in Artificial Intelligence Vol. 1747 page： 134-143 1999.12
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Spoken Language Parsing with Robustness and Incrementality Reviewed
Yoshihide Kato, Shigeki Matsubara, Katsuhiko Toyama, Yasuyoshi Inagaki
Proceedings of Natural Languauge Processing Pacific Rim Symposium Vol. 5 page： 132-137 1999.10
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Incremental Spoken Langauge Translation based on A Normal-Form Conversion of CFG, Reviewed
Shigeki Matsubara, Hiroshi Ogawa, Katsuhiko Toyama, Yasuyoshi Inagaki
Proceedings of Natural Languauge Processing Pacific Rim Symposium Vol. 5 page： 515-518 1999.10
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An Open Architechture for Mutimodal Multidomain System Reviewed
Nobuo Kawaguchi, Shigeki Matsubara, Katsuhiko Toyama and Yasuyoshi Inagaki
Proceedings of Natural Languauge Processing Pacific Rim Symposium Vol. 5 page： 463-466 1999
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An Architecture for Multi-Domain Spoken Dialog Systems Reviewed
Nobuo Kawaguchi, Shigeki Matsubara, Katsuhiko Toyama and Yasuyoshi Inagaki
Proceedings of International Conference on Information, Communication and Signal Processing Vol. 2 1999
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Incremental English-Japanese Spoken Language Translation Utilizing Ill-formed Expressions Reviewed
IEE Transaction Vol. 118-C ( 1 ) page： 71-78 1998
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Chart-based Parsing and Transfer in Incremental Spoken Language Translation System Reviewed
Shigeki Matsubara, Satoru Asai, Katsuhiko Toyama, Yasuyoshi Inagaki
Proceedings of Fourth Natural Language Processing Pacific Rim Symposium page： 521-524 1997.12
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An Interactive Multimodal Drawing System based on Incremental Interpretation Reviewed
Shigeki Matsubara, Hiroyuki Yamamoto, Nobuo Kawaguchi, Yasuyoshi Inagaki, and KatsuhikoToyama
Proceedings of the 15th International Joint Conference on Artificial Intelligence Workshop on Intelligent Multimodal Systems page： 55-62 1997.8
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Incremental Spoken Language Translation Utilizing Grammatically Ill-formed Expressions, Reviewed
Shigeki Matsubara, Satoru Asai, Yasuyoshi Inagaki, Katsuhiko Toyama
Proceedings of The Third Conference of Pacific Association for Computational Linguistics page： 188-194 1997.7
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Utilizing Extra-Grammatical Phenomena in Incremental English-Japanese Machine Translation Reviewed
Shigeki Matsubara, Yasuyoshi Inagaki
Proceedings of Seventh International Conference on Theoretical and Methodological Issues in Machine Translation page： 31-38 1997.7
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A Multi-Modal Interaction System based on Incremental Interpretation of Natural Language Reviewed
Shigeki Matsubara, Nobuo Kawaguchi, Hiroyuki Ymamoto, and Yasuyoshi Inagaki
Proceedings of Eighth International Annual Energy Week Conference & Exhibition Vol. 5 page： 133-140 1997.1
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Incremental Transfer in English-Japanese Machine Translation
Shigeki Matsubara, Yasuyoshi Inagaki
IEICE Transactions on Information and Systems Vol. E80-D ( 11 ) page： 1122-1129 1997
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Books
Books 6
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Automatic Collection of Useful Phrase for English Academic Writing, in Innovations in Intelligent Machines -2
Shunsuke Kozawa, Yuta Sakai, Kenji Sugiki, Shigeki Matsubara（ Role： Joint author）
Springer-Verlag Berlin Heidelberg 2012.1
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Alignment-based Translation Unit for Simultaneous Japanese-English Spoken Dialogue Translation, in Innovations in Intelligent Machines -2
Koichiro Ryu, Shigeki Matsubara, Yasuyoshi Inagaki（ Role： Joint author）
Studies in Computational Intelligence 2012.1
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Large In-Car Speech Corpus for Integrated Acoustic Information Research, in Computer Processing of Asian Spoken Languages
Shigeki Matsubara, Nobuo Kawaguchi, Kazuya Takeda, Fumitada Itakura（ Role： Joint author）
c/o The Americas Group 2010.4
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Simultaneous interpretation corpus for advanced speech translation research, in Computer Processing of Asian Spoken Languages
Shigeki Matsubara, Hitomi Tohyama, Nobuo Kawaguchi, Kazuya Takeda（ Role： Joint author）
c/o The Americas Group 2010.4
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Towards Robust Spoken Dialogue System Using Large-Scale In-car Speech Corpus (Ed. by Huseyin Abut, John H. L. Hansen and Kazuya Takeda, Digital Signal Processing for In-Vehicle and Mobile Systems)
Yukiko Yamaguchi, Keita Hayashi, Takahiro Ono, Shingo Kato, Yuki Irie, Tomohiro Ohno, Hiroya Murao, Shigeki Matsubara, Nobuo Kawaguchi, Kazuya Takeda（ Role： Joint author）
Springer 2007.4
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Construction and Analysis of a Multi-Layered In-car Spoken Dialogue Corpus (Edited by Huseyin Abut, John H.L. Hansen, and Kazuya, DSP for In-Vehicle and Mobile Systems)
Nobuo Kawaguchi, Shigeki Matsubara, Itsuki Kishida, Yuki Irie, Yukiko Yamaguchi, Kazuya Takeda and Fumitada Itakura（ Role： Joint author）
Springer 2004.5
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MISC
MISC 64
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論文の文献リストにおける研究データ引用の検出
生駒流季, 松原茂樹
言語処理学会第30回年次大会論文集 page： 374 - 378 2024.3
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論文におけるURLによる引用を考慮した引用要否判定
和田和浩, 角掛正弥，松原茂樹
言語処理学会第30回年次大会論文集 page： 2258 - 2262 2024.3
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語りの傾聴における補完応答の生成のための話し手の発話の予測
海野博揮, 大野誠寛, 伊藤滉一朗, 松原茂樹
言語処理学会第30回年次大会論文集 page： 1751 - 1755 2024.3
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語りに傾聴を示す応答タイミングの検出のためのテキストデータの利用
渡邉優, 伊藤滉一朗, 松原茂樹
言語処理学会第30回年次大会論文集 page： 1441 - 1445 2024.3
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否定アノテーション付きコーパスの統一に向けた否定スコープの自動変換
吉田朝飛, 加藤芳秀, 松原茂樹
言語処理学会第30回年次大会論文集 page： 817 - 821 2024.3
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学術論文におけるURLによる引用の動向とその利用可能性
和田 和浩, 松原 茂樹
情報処理研究報告, インターネットと運用技術（IOT） Vol. 2023-IOT-63 ( 2 ) page： 1 - 6 2023.9
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学術論文における引用文脈を用いた参考文献の重要度の評価
生駒 流季, 松原茂樹
人工知能学会第37回全国大会論文集 ( 1E3-GS-6-04 ) 2023.6
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文法的・意味的制約に基づくクエリ指向型文圧縮
林 律希, 加藤芳秀, 松原茂樹
人工知能学会第37回全国大会論文集 ( 1Ts-GS-6-01 ) 2023.6
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中間タスクの挿入による学術論文におけるURL 引用の分類
和田和浩, 松原茂樹
言語処理学会第29回年次大会論文集 2023.3
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マルチタスク学習による講演テキストへの読点と改行の自動挿入
方之成, 村田匡輝, 松原茂樹
情報処理学会第85回全国大会講演論文集 2023.3
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語りの傾聴において不同意される発話とその検出
伊藤滉一朗, 村田匡輝, 大野誠寛, 松原茂樹
言語処理学会第29回年次大会論文集 2023.3
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トポロジカルソートとBERTを用いた日本語文の語順整序
孫鵬, 大野誠寛, 松原茂樹
言語処理学会第29回年次大会論文集 2023.3
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空所化情報を考慮した句構造から依存構造への変換
小林幹輝, 加藤芳秀, 松原茂樹
言語処理学会第29回年次大会論文集 2023.3
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否定スコープ認識における構文構造利用の再検証
吉田朝飛, 加藤芳秀, 松原茂樹
言語処理学会第29回年次大会論文集 2023.3
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外国語検定の面接試験において生成する質問の難易度選定
林鳴昊, 伊藤滉一朗, 松原茂樹
言語処理学会第29回年次大会論文集 2023.3
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産学コンソーシアムによるデータサイエンス人材育成の実践
松原 茂樹, 中岩 浩巳, 駒水 孝裕, 鈴木 優, 井手 一郎, 西村 訓弘, 速水 悟, 武田 一哉
情報処理学会研究報告コンピュータと教育（CE） Vol. 2022-CE-167 ( 16 ) page： 1 - 6 2022.12
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研究資源のメタデータに関する情報を学術論文から抽出する試み
佐治 礼仁，松原 茂樹
情報処理学会研究報告インターネットと運用技術（IOT） Vol. 2022-IOT-59 ( 1 ) page： 1 - 8 2022.9
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トポロジカルソートに基づく日本語文の語順整序
孫 鵬, 大野 誠寛, 松原 茂樹
第21回情報科学技術フォーラム講演論文集 (FIT2022) Vol. 21 ( 2 ) page： 301 - 302 2022.9
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Authorship：Last author Language：English Publishing type：Research paper, summary (national, other academic conference)
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文法性判定に基づくクエリ指向の文圧縮
林 律希, 加藤 芳秀, 松原 茂樹
情報科学技術フォーラム講演論文集 (FIT2022) Vol. 21 ( 2 ) page： 305 - 306 2022.9
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Authorship：Last author Language：Japanese Publishing type：Research paper, summary (national, other academic conference)
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句構造から依存構造への変換における空範疇の利用
小林幹輝，加藤芳秀，松原茂樹
人工知能学会第36回全国大会論文集 2022.6
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語りの傾聴において同意が適さない発話の検出
河本悠太，伊藤滉一朗，松原茂樹
情報処理学会第84回全国大会講演論文集 2022.3
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Language：Japanese Publishing type：Research paper, summary (national, other academic conference)
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研究データ利活用の促進に向けた論文におけるURLによる引用の分類
角掛正弥，松原茂樹
言語処理学会第27回年次大会論文集 2022.3
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Language：Japanese Publishing type：Research paper, summary (national, other academic conference)
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ニューラルモデルとタブロー法を用いた自然言語推論のモデル理論的な定式化
佐治礼仁，加藤芳秀，松原茂樹
言語処理学会第27回年次大会論文集 2022.3
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Authorship：Last author Language：Japanese Publishing type：Research paper, summary (national, other academic conference)
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FAQ作成のためのヘルプデスク対応記録の利用
谷敷優希，伊藤滉一朗，松原茂樹
情報処理学会第84回全国大会講演論文集 2022.3
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Authorship：Last author Language：Japanese Publishing type：Research paper, summary (national, other academic conference)
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ニューラルモデルとタブロー法を用いた自然言語推論
佐治礼仁，加藤芳秀, 松原茂樹
第20回情報科学技術フォーラム講演論文集 (FIT2021) Vol. 20 ( 2 ) 2021.9
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Authorship：Last author Language：Japanese Publishing type：Research paper, summary (national, other academic conference)
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傾聴を示す応答を用いた語りの重要箇所の同定
小杉駿介, 伊藤滉一朗, 村田匡輝, 大野誠寛, 松原茂樹
第20回情報科学技術フォーラム講演論文集 (FIT2021) Vol. 20 ( 2 ) page： 311 - 314 2021.8
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Authorship：Last author Language：Japanese Publishing type：Research paper, summary (national, other academic conference)
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語りに傾聴を示す応答の表出されやすさの推定
伊藤滉一朗, 村田匡輝, 大野誠寛, 松原茂樹
言語処理学会第27回年次大会(NLP2021) page： 200 - 205 2021.3
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Authorship：Last author Language：Japanese Publishing type：Research paper, summary (national, other academic conference)
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深層学習を用いた係り先の文字列予測
吉田 富雅, 大野 誠寛, 松原 茂樹
情報処理学会第83回全国大会講演論文集 page： 547 - 548 2021.3
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Authorship：Last author Language：Japanese Publishing type：Research paper, summary (national, other academic conference)
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残存文長を考慮した講演テキストへの改行挿入
岩村 由香, 大野 誠寛, 松原 茂樹
情報処理学会第83回全国大会講演論文集 ( 2 ) page： 545 - 546 2021.3
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Language：Japanese Publishing type：Research paper, summary (national, other academic conference)
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文末からのトップダウン係り受け解析との同時実行に基づく日本語文の語順整序と読点挿入
宮地航太, 大野誠寛, 松原茂樹
言語処理学会第27回年次大会(NLP2021) page： 1840 - 1845 2021.3
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Authorship：Last author Language：Japanese Publishing type：Research paper, summary (national, other academic conference)
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学術論文における引用文脈を用いた文献の推薦
生駒流季, 松原茂樹
言語処理学会第27回年次大会(NLP2021) page： 811 - 815 2021.3
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Authorship：Last author Language：Japanese Publishing type：Research paper, summary (national, other academic conference)
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研究データ検索における論文上の引用文脈の利用
角掛正弥, 松原茂樹
言語処理学会第27回年次大会(NLP2021) page： 334 - 339 2021.3
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Language：Japanese Publishing type：Research paper, summary (national, other academic conference)
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当たり前でない当たり前なこと Invited
松原 茂樹
自然言語処理 Vol. 28 ( 3 ) page： 743 - 744 2021
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Authorship：Lead author, Corresponding author Language：Japanese Publisher：一般社団法人 言語処理学会
DOI： 10.5715/jnlp.28.743
Other Link： https://www.jstage.jst.go.jp/article/jnlp/28/3/28_743/_article/-char/ja/
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語りの傾聴において表出する応答データの拡充
村田 匡輝, 大野 誠寛, 松原 茂樹
言語処理学会第26回年次大会発表論文集 page： 129-132 2020.3
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Language：Japanese
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語りの傾聴における共感の深さと応答の種類の関係
伊藤滉一朗, 村田 匡輝, 大野 誠寛, 松原 茂樹
言語処理学会第26回年次大会発表論文集 page： 1400-1403 2020.3
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Language：Japanese
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学術論文で引用されたWeb上の研究データの同定と分類
角掛 正弥, 松原 茂樹
言語処理学会第26回年次大会発表論文集 page： 1265-1268 2020.3
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Language：Japanese
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文法・意味的役割に基づく空所化構文の解析
加藤 芳秀, 松原 茂樹
言語処理学会第26回年次大会発表論文集 page： 1261-1264 2020.3
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Language：Japanese
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係り受け解析との同時実行に基づく日本語文の語順整序と読点挿入
宮地 航太, 大野 誠寛, 松原 茂樹
言語処理学会第26回年次大会発表論文集 page： 243-246 2020.3
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Language：Japanese
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傾聴において表出する評価応答に対応した語りの語句
小杉 駿介, 伊藤 滉一朗, 村田 匡輝, 大野 誠寛, 松原 茂樹
情報処理学会第82回全国大会講演論文集 page： 461-462 2020.3
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Language：Japanese
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漸進的係り受け解析における未入力文節との構文的関係の同定
相津 徹也, 大野 誠寛, 松原 茂樹
情報処理学会第82回全国大会講演論文集 page： 441-442 2020.3
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漸進的な言語処理のための独話文に対する残存文長の推定
河村 天暉, 大野 誠寛, 松原 茂樹
情報処理学会第82回全国大会講演論文集 page： 447-448 2020.3
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Language：Japanese
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読みやすい字幕生成のためのRNN を用いた講演テキストへの改行挿入
飯泉 智朗, 大野 誠寛, 松原 茂樹
情報処理学会第82回全国大会講演論文集 page： 451-452 2020.3
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Language：Japanese
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RNNLMとSVMを用いた日本語文の語順整序
高須 恵, 大野 誠寛, 松原 茂樹
情報処理学会第82回全国大会講演論文集 page： 453-454 2020.3
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Language：Japanese
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人間の漸進的言語処理能力の分析
後藤 亮, 大野 誠寛, 松原 茂樹
情報処理学会第82回全国大会講演論文集 page： 457-458 2020.3
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論文において研究データを引用するURLの同定
角掛 正弥, 松原 茂樹
情報処理学会第82回全国大会講演論文集 page： 1-2 2020.3
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Language：Japanese
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研究データを参照する文献の引用文脈に基づく識別
生駒 流季, 松原 茂樹
情報処理学会第82回全国大会講演論文集 page： 1-2 2020.3
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語りに傾聴を示す応答の表現とその表出効果
小杉 駿介, 伊藤 滉一朗, 村田 匡輝, 大野 誠寛, 松原 茂樹
令和元年度電気・電子・情報関係学会東海支部連合大会講演論文集 page： J1-4 2019.9
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Language：Japanese
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話し手の語りに傾聴を示すシステムの開発
堀上 七瀬, 村田 匡輝, 松原 茂樹
令和元年度電気・電子・情報関係学会東海支部連合大会講演論文集 page： Po1-31 2019.9
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Language：Japanese
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漸進的な言語処理のためのRNNを用いた残存文長の推定とその評価
河村 天暉, 大野 誠寛, 松原 茂樹
第18回情報科学技術フォーラム講演論文集 page： 185-186 2019.9
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Language：Japanese
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講演の同時通訳における文の訳出難易度の推定 Reviewed
蔡 仲煕, 笠 浩一朗, 松原 茂樹
電子情報通信学会技術研究報告 page： 37-41 2019.3
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Language：Japanese
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同時通訳における作業記憶の負荷と訳出との関係 Reviewed
笠 浩一朗, 松原 茂樹
通訳翻訳研究 page： 147-158 2019.3
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Language：Japanese
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傾聴を示す応答で繰り返される語りの語句の検出
伊藤 滉一朗, 村田 匡輝, 大野 誠寛, 松原 茂樹
言語処理学会第25回年次大会発表論文集 page： 1316-1319 2019.3
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読みにくい語順の文への読点の自動挿入
宮地 航太, 大野 誠寛, 松原 茂樹
言語処理学会第25回年次大会発表論文集 page： 1308-1311 2019.3
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Language：Japanese
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非局所的依存関係同定の木構造を用いた近似解法
加藤 芳秀, 松原 茂樹
言語処理学会第25回年次大会発表論文集 page： 474-477 2019.3
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漸進的な言語処理のためのRNNを用いた残存文長の推定
河村 天暉, 大野 誠寛, 松原 茂樹
言語処理学会第25回年次大会発表論文集 page： 355-358 2019.3
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傾聴を示す応答で繰り返される語りの語句の特徴分析
伊藤 滉一朗, 村田 匡輝, 大野 誠寛, 松原 茂樹
第16回情報学ワークショップ論文集 page： A3, 4 pages 2018.11
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読みにくい文への読点の自動挿入
宮地 航太, 大野 誠寛, 松原 茂樹
第16回情報学ワークショップ論文集 page： 115 2018.11
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漸進的な言語処理のための残存文長の推定
河村 天暉, 大野 誠寛, 松原 茂樹
第17回情報科学技術フォーラム講演論文集 page： 183-184 2018.9
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語りの傾聴を話し手に示す応答発話の収集
村田 匡輝, 大野 誠寛, 松原 茂樹
電気学会論文誌 page： Vol. 138-C, No. 5, pp. 637-638 2018.3
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同時通訳における語の欠落に影響を及ぼす要因の分析 Reviewed
蔡 仲煕, 笠 浩一朗, 松原 茂樹
通訳翻訳研究 page： 133-146 2018.3
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系列変換モデルを用いた傾聴的な応答表現の生成
村田 匡輝, 大野 誠寛, 松原 茂樹
言語処理学会第24回年次大会発表論文集 page： 821-824 2018.3
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語順の読みにくさに頑健な係り受け解析のための節の始境界検出
中澤 貴大, 大野 誠寛, 松原 茂樹，絹川 博之
言語処理学会第24回年次大会発表論文集 page： 188-191 2018.3
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助動詞を考慮した自然論理タブロー法
高尾 大樹, 加藤 芳秀, 松原 茂樹
言語処理学会第24回年次大会発表論文集 page： 268-271 2018.3
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モデル理論的意味論に基づく漸進的意味解釈の定式化
加藤 芳秀, 松原 茂樹
言語処理学会第24回年次大会発表論文集 page： 109-112 2018.3
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Presentations
Presentations 59
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大学における研究データポリシーの役割 Invited
松原茂樹
朝日大学2024年度11回FD・SD研修会 2025.2.26 朝日大学全学FD活動推進委員会
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Event date： 2025.2
Language：Japanese Presentation type：Oral presentation (invited, special)
Country：Japan
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大学における研究データ管理：国内の動向と課題 Invited
松原茂樹
第4回北陸地区学術データ基盤セミナー 2025.2.19
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Event date： 2025.2
Language：Japanese Presentation type：Oral presentation (invited, special)
Country：Japan
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研究データ管理は研究活動をどう促進するか：趣旨説明 Invited
松原茂樹
大学ICT推進協議会2024年度年次大会 研究データマネジメント部会企画セッション 2024.12.10 大学ICT推進協議会
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Event date： 2024.12
Language：Japanese Presentation type：Oral presentation (invited, special)
Venue：奈良
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研究データのオープンアクセス化における大学の役割と課題 Invited
松原茂樹
2024年度第2回中部研究支援実務者連絡会 2024.12.9 中部研究支援実務者連絡会
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Event date： 2024.12
Language：Japanese Presentation type：Oral presentation (invited, special)
Venue：大同大学
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研究データエコシステム東海コンソーシアムの活動と展開 Invited
松原茂樹
第3回東海地区学術データ基盤セミナー 第5回研究データエコシステム東海コンソーシアムセミナー 合同セミナー 2024.12.3
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Event date： 2024.12
Language：Japanese Presentation type：Oral presentation (invited, special)
Venue：ウィンクあいち
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研究データガバナンス構築に向けたルール・ガイドライン整備 Invited
松原茂樹
研究データエコシステム構築事業シンポジウム2024 2024.10.9
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Event date： 2024.10
Language：Japanese Presentation type：Oral presentation (invited, special)
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研究データエコシステム東海コンソーシアムの形成と展開 Invited
松原茂樹
研究データ管理東北コンソーシアム設立準備シンポジウム 2024.10.3
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Event date： 2024.10
Language：Japanese Presentation type：Oral presentation (invited, special)
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オープンアクセス加速化と自然言語処理 Invited
松原茂樹
令和6年度第2回名古屋大学情報基盤センターコロキウム 2024.7.23 名古屋大学情報基盤センター
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Event date： 2024.7
Language：Japanese Presentation type：Oral presentation (invited, special)
Venue：名古屋大学 Country：Japan
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研究データ管理と大学連携：東海地域におけるコンソーシアムの形成と展開 Invited
松原茂樹
NII学術情報基盤オープンフォーラム2024「地域の力で切り開く、研究データ管理のこれから」 2024.6.12 国立情報学研究所
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Event date： 2024.6
Language：Japanese Presentation type：Oral presentation (invited, special)
Venue：東京 Country：Japan
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研究データガバナンスの強化と研究データポリシーの深化 Invited
松原茂樹
NII学術情報基盤オープンフォーラム2024「機関の研究データガバナンスとポリシー」 2024.6.12 国立情報学研究所
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Event date： 2024.6
Language：Japanese Presentation type：Oral presentation (invited, special)
Venue：東京 Country：Japan
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オープンサイエンスの推進における研究データポリシーの役割 Invited
松原茂樹
私立大学図書館協会東地区部会 館長会 2024.6.7 私立大学図書館協会東地区部会
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Event date： 2024.6
Language：Japanese Presentation type：Oral presentation (invited, special)
Country：Japan
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オープンサイエンスと研究データ管理：データポリシーの役割 Invited
松原茂樹
名古屋市立大学令和5年度総合情報センター事業 2024.3.14 名古屋市立大学総合情報センター
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Event date： 2024.3
Language：Japanese Presentation type：Oral presentation (invited, special)
Venue：名古屋市立大学
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大学における研究者のための研究データ管理 Invited
松原茂樹
県立広島大学研究活動支援セミナー 2024.3.7 県立広島大学
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Event date： 2024.3
Language：Japanese Presentation type：Oral presentation (invited, special)
Venue：県立広島大学
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研究データエコシステム東海コンソーシアムについて Invited
松原茂樹
大学等におけるクラウドサービス利用シンポジウム2024 2024.2.29 広島大学
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Event date： 2024.2 - 2024.3
Language：Japanese Presentation type：Oral presentation (invited, special)
Venue：広島大学
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研究データエコシステム東海コンソーシアムからみる研究データ：研究データ管理・公開・利活用 Invited
松原茂樹
琉球大学研究データ管理セミナー 2024.2 琉球大学
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Event date： 2024.2
Language：Japanese Presentation type：Oral presentation (invited, special)
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研究データエコシステム東海コンソーシアムの設立について Invited
松原茂樹
大学ICT推進協議会2023年度年次大会 実行委員会企画セッション「研究データエコシステムの構築に向けた地域コンソーシアムの形成」 2023.12.15
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Event date： 2023.12
Language：Japanese Presentation type：Oral presentation (invited, special)
Venue：名古屋国際会議場
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RDM推進のための学内体制：趣旨説明 Invited
松原茂樹
AXIES-2023-RDM部会 企画セッション 2023.12.15 大学ICT推進協議会
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Event date： 2023.12
Language：Japanese Presentation type：Oral presentation (invited, special)
Venue：名古屋国際会議場
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研究データエコシステム東海コンソーシアム Invited
松原茂樹
令和５年度国立大学図書館協会東海北陸地区助成事業研修会 2023.11.21
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Event date： 2023.11
Language：Japanese Presentation type：Oral presentation (invited, special)
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研究データガバナンス構築に向けたルール・ガイドライン整備 Invited
松原茂樹
研究データエコシステム構築事業シンポジウム2023 2023.9.28
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Event date： 2023.9
Language：Japanese Presentation type：Oral presentation (invited, special)
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研究データエコシステム東海コンソーシアムについて Invited
松原 茂樹
第２回東海地区学術データ基盤セミナー 2023.7.24
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Event date： 2023.7
Language：Japanese Presentation type：Oral presentation (invited, special)
Country：Japan
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大学の研究データガバナンスを支えるルールとツール：趣旨説明 Invited
松原茂樹
NII学術情報基盤オープンフォーラム2023「RDMセッション」 2023.5.30 国立情報学研究所
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Event date： 2023.5
Language：Japanese Presentation type：Oral presentation (invited, special)
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大学における学術データガバナンスの構築に向けた取り組み Invited
松原 茂樹
大阪大学レーザー科学研究所コロキウム 2023.2.28 大阪大学レーザー科学研究所パワーレーザーDXプラットフォーム
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Event date： 2023.2
Language：Japanese Presentation type：Public lecture, seminar, tutorial, course, or other speech
Venue：大阪大学レーザー科学研究所 Country：Japan
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大学における研究データガバナンスを考える Invited
松原茂樹
大学ICT推進協議会2022年度年次大会 2022.12.15 大学ICT推進協議会
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Event date： 2022.12
Language：Japanese Presentation type：Oral presentation (invited, special)
Venue：仙台 Country：Japan
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学術データの全学的な基盤整備 Invited
松原茂樹
第１回東海地区学術データ基盤セミナー 2022.12
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Event date： 2022.12
Language：Japanese Presentation type：Oral presentation (invited, special)
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産学コンソーシアムによるデータサイエンス人材育成の実践
松原 茂樹，中岩 浩巳，駒水 孝裕，鈴木 優，井手 一郎，西村 訓弘，速水 悟，武田 一哉
情報処理学会コンピュータと教育研究会第167回研究発表会 2022.12
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Event date： 2022.12
Language：Japanese Presentation type：Oral presentation (general)
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研究データポリシーについて Invited
松原茂樹
令和４年度国立大学図書館協会東海北陸地区助成事業 研修会 2022.10.25
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Event date： 2022.10
Language：Japanese Presentation type：Oral presentation (invited, special)
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学術データ利活用推進に向けた全学横断的取り組み Invited
松原茂樹
第13回教育総合展EDIX東京 2022.5
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Event date： 2022.5
Language：Japanese Presentation type：Oral presentation (invited, special)
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名古屋大学における研究データ管理の組織的推進 Invited
松原茂樹
NII学術情報基盤オープンフォーラム2022 2022.5
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Event date： 2022.5
Language：Japanese Presentation type：Oral presentation (invited, special)
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名古屋大学におけるデータポリシー策定とその後 Invited
松原茂樹
SPARC Japan セミナー2021 2022.2
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Event date： 2022.2
Language：Japanese Presentation type：Oral presentation (invited, special)
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名古屋大学におけるGakuNin RDM の導入の経緯と今後の課題 Invited
松原茂樹
NII学術情報基盤オープンフォーラム2021 2021.7
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Event date： 2021.7
Language：Japanese Presentation type：Oral presentation (invited, special)
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名古屋大学RPA導入ガイドラインの策定 Invited
松原茂樹
第26回大学等におけるオンライン教育とデジタル変革に関するサイバーシンポジウム 2021.2
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Event date： 2021.2
Language：Japanese Presentation type：Oral presentation (invited, special)
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名古屋大学学術データポリシーの策定
松原茂樹
研究データ利活用協議会（RDUF） 2020年度総会 2020.12 研究データ利活用協議会
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Event date： 2020.12
Language：Japanese Presentation type：Oral presentation (general)
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データサイエンス教育の国際共通ガイドラインとその実践に向けて Invited
松原茂樹
東海デジタル人材フォーラム 2020.9
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Event date： 2020.9
Language：Japanese Presentation type：Oral presentation (invited, special)
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学術機関における研究データ管理フレームワーク：趣旨説明 Invited
松原茂樹
NIIオープンフォーラム
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Event date： 2020.6
Language：Japanese Presentation type：Oral presentation (invited, special)
Country：Japan
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オープンサイエンスに向けた大学の研究データ管理 Invited
松原茂樹
令和元年度第3回名古屋大学情報連携統括本部公開講演会
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Event date： 2020.2
Language：Japanese Presentation type：Public lecture, seminar, tutorial, course, or other speech
Country：Japan
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名古屋大学における研究データ管理に関するアンケートの作成と実施 Invited
松原茂樹
大学ICT推進協議会2019年度年次大会-研究データ部会「研究データマネジメントの組織的行動への展開」
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Event date： 2019.12
Language：Japanese Presentation type：Oral presentation (invited, special)
Country：Japan
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名古屋大学における数理・データ科学教育の体制と展開 Invited
松原茂樹
2019年度東海地区大学教育研究会研究大会
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Event date： 2019.12
Language：Japanese Presentation type：Oral presentation (invited, special)
Venue：愛知教育大学教育未来館３階多目的ホール Country：Japan
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大学における研究データ管理に点火する：JANUL meets AXIES via NII Invited
松原茂樹
第21回図書館総合展
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Event date： 2019.11
Language：Japanese Presentation type：Symposium, workshop panel (nominated)
Country：Japan
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大学における研究データ管理に向けた大学ICT推進協議会の取り組み Invited
松原茂樹
第21回図書館総合展
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Event date： 2019.11
Language：Japanese Presentation type：Oral presentation (invited, special)
Country：Japan
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名古屋大学における研究データ管理体制の整備 Invited
松原茂樹, 揚野敏光, 吉田千穂
NII学術情報基盤オープンフォーラム2019
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Event date： 2019.5
Language：Japanese Presentation type：Oral presentation (invited, special)
Country：Japan
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研究データ管理の組織的対応の進め方 Invited
松原茂樹
NII学術情報基盤オープンフォーラム2019
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Event date： 2019.5
Language：Japanese Presentation type：Symposium, workshop panel (nominated)
Country：Japan
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大学機関における研究データ管理 Invited
松原茂樹
NII学術情報基盤ミーテイング2018(名古屋会場）
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Event date： 2018.12
Language：English Presentation type：Oral presentation (general)
Country：Japan
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会話コミュニケーション技術の展開 Invited
松原茂樹
情報学ワークショップ2018
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Event date： 2018.11
Language：Japanese Presentation type：Oral presentation (invited, special)
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Incremental Parsing and Its Applications Invited International conference
Shigeki Matsubara
Workshop on Future Directions in Translation Research
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Event date： 2012.12
Language：English Presentation type：Oral presentation (invited, special)
Venue：Nara, Japan Country：Japan
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感性ロボティクスの未来を拓く言語の理解と生成
松原茂樹
第14回感性工学会大会
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Event date： 2012.8 - 2012.9
Language：Japanese Presentation type：Oral presentation (invited, special)
Venue：東京電機大学 Country：Japan
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言語のチャンキング
松原茂樹
第12回Ｋフォーラム
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Event date： 2012.8
Language：Japanese Presentation type：Oral presentation (invited, special)
Venue：高山 Country：Japan
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大規模音声文書アクセスのための音声言語データのコンテンツ化
松原茂樹
2011 旭硝子財団 助成研究発表会
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Event date： 2011.7
Language：Japanese Presentation type：Oral presentation (invited, special)
Venue：ホテルグランドヒル市ヶ谷 Country：Japan
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Information Technology Researches in Graduate School International conference
Shigeki Matsubara
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Event date： 2010.3
Language：English Presentation type：Oral presentation (invited, special)
Country：Viet Nam
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大規模音声言語コーパスを用いた同時通訳システムの実現に関する研究
松原茂樹
人工知能研究振興財団研究成果発表会
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Event date： 2010
Language：Japanese Presentation type：Oral presentation (invited, special)
Venue：名古屋 Country：Japan
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独話音声の言語処理技術とその応用
松原茂樹
電気関係学会東海支部連合大会シンポジウム「自然言語処理技術とその応用」
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Event date： 2006.9
Language：Japanese Presentation type：Oral presentation (invited, special)
Venue：岐阜大学 Country：Japan
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学術情報流通と学術機関リポジトリ
松原茂樹
名古屋大学 学術機関リポジトリ 公開記念講演会
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Event date： 2006.3
Language：Japanese Presentation type：Oral presentation (invited, special)
Venue：名古屋大学附属図書館 Country：Japan
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コーパスに基づく通訳研究
松原茂樹
日本通訳学会関西支部第１０回例会
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Event date： 2005.12
Language：Japanese Presentation type：Oral presentation (invited, special)
Venue：千里クラブ Country：Japan
名古屋大学同時通訳コーパスとその利用について述べる。コーパスは、通訳プロセスの解明、及び、通訳システムの開発での活用を目的に、講演及び対話の通訳音声を大量に収集している。収録された通訳者発話に対して、言語論的、計算論的 観点に基づく定量的分析を与えている。発表では、これらの成果を概説し、コーパス に基づく通訳研究の可能性について論じる。
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大規模音声言語コーパスの構築と利用
松原茂樹
第87回情報論談話会
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Event date： 2004.12
Language：Japanese Presentation type：Oral presentation (invited, special)
Venue：岐阜大学 Country：Japan
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Asian Research in Machine Translation and the Challenge of Statutory Translation International conference
Shigeki Matsubara
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Event date： 2003.10
Language：English Presentation type：Oral presentation (invited, special)
Country：Japan
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Parsing Technique and Machine Translation International conference
Shigeki Matsubara
Natural Language Processing and Intelligent Information System Technology Meeting
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Event date： 2003.8
Language：English Presentation type：Oral presentation (invited, special)
Country：Thailand
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同時通訳のための話し言葉処理
松原茂樹
「コミュニケーションの成立条件」シンポジウム
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Event date： 2001.12
Language：Japanese Presentation type：Oral presentation (invited, special)
Venue：東北大学 Country：Japan
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同時通訳システムの実現を目指して －自動通訳技術の現状と今後の課題
松原茂樹
日本通訳学会第４回特別例会
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Event date： 2001.7
Language：Japanese Presentation type：Oral presentation (invited, special)
Venue：大東文化大学 Country：Japan
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同時通訳システムの実現のための機械翻訳手法について
松原茂樹
第70回情報論談話会
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Event date： 1998.7
Language：Japanese Presentation type：Oral presentation (invited, special)
Venue：名古屋大学 Country：Japan
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Towards Simultaneous Interpretation Systems -- A Case of Translation between English and Japanese -- International conference
Shigeki Matsubara
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Event date： 1997.12
Language：English Presentation type：Oral presentation (invited, special)
Country：Japan
KAKENHI (Grants-in-Aid for Scientific Research)
KAKENHI (Grants-in-Aid for Scientific Research) 14
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Grant number：23K18506 2023.6 - 2026.3
Grants-in-Aid for Scientific Research Grant-in-Aid for Challenging Research (Exploratory)
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Authorship：Principal investigator
Grant amount：\6500000 （ Direct Cost: \5000000 、 Indirect Cost：\1500000 ）
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Grant number：22K12148 2022.4 - 2025.3
科学研究費助成事業 基盤研究(C)
加藤 芳秀, 松原 茂樹
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Authorship：Coinvestigator(s)
自然言語推論とは，２つのテキストが与えられたとき，それらのテキスト間に成り立つ「含意」，「矛盾」といった推論的関係を同定するタスクである．本研究では，構文構造に基づきテキストを分割・変換し，自然言語推論の問題を複数の部分問題に還元する推論エンジンを開発する．推論エンジンは，ニューラルネットワークモデルと統合できるように設計する．開発した推論エンジンとニューラルネットワークモデルの統合により，次の性質を持つ自然言語推論システムを実現する．
（１）推論的関係を導出する過程が人に解釈できる形で提示できる．
（２）ニューラルネットワークモデルに基づく自然言語推論システムと同程度の正解率を達成できる．
本研究では，構文構造を操作対象とした自然論理に基づく推論と，ニューラルネットワークに基づく推論とを組み合わせた自然言語推論システムを開発している．本年度は，本システムを構成する次の2つを開発した：（１）自然論理に基づく推論のための構文解析，及び（２）常識的知識に基づく推論を実現するための知識グラフである．
（１）は，前年度に開発した構文解析を発展させたものである．自然論理に基づく推論において，否定要素の影響が及ぶ範囲，いわゆるスコープを正しく特定することが重要である．本年度は，否定スコープ認識の精度向上に取り組んだ．具体的には，否定スコープ認識モデルの構築に必要な学習データを拡充する手法を開発した．否定スコープ認識に関するデータセットは複数存在するが，それらのアノテーションは基準が異なっている．このため，これらを単に組み合わせてモデルを学習しても単体のデータセットで学習するよりも精度が低下する．本研究では，アノテーションを統一するための変換手法を開発した．本手法により変換したデータセットから学習した否定スコープ認識モデルは，実験において，最新の否定スコープ認識手法よりも高いF値を達成した．
（２）では，常識推論に必要な知識を知識グラフとしてシステムに組み込む方法を検討した．具体的には，IF-THEN形式で常識的知識を表現する知識グラフを，本研究で開発する自然言語推論システムに組み込む方法について検討した．
研究課題（１）の構文解析の開発は，予定通りに実施できた．研究成果の一部は国際会議 *SEM 2023 で発表し，また論文として公表した．
研究課題（２）については予定よりも遅れている．当初の予定では，常識的知識を扱う知識グラフを実装し，実験により有効性を検証する予定であったが，基本設計の検討に時間がかかったため実施できなかった．
全体としては研究の進捗はやや遅れていると評価した．
最終年度は，自然言語推論システムを完成させるために以下の研究課題を実施する．
（１）常識推論を実現するための知識グラフを実装し評価する．
（２）開発した構文解析，及び常識推論のための知識グラフを，前年度に開発したタブロー法に基づく推論システムの元に統合し，自然言語推論システムを実現する．また，その有効性を実験により評価する．各モジュールの高性能化により，システム全体の性能を向上させる． -
Scholarly document analysis for data repository construction
Grant number：21H03773 2021.4 - 2025.3
Grants-in-Aid for Scientific Research Grant-in-Aid for Scientific Research (B)
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Authorship：Principal investigator
Grant amount：\17160000 （ Direct Cost: \13200000 、 Indirect Cost：\3960000 ）
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Scholarly document analysis for data repository construction
Grant number：23K21844 2021.4 - 2025.3
Grants-in-Aid for Scientific Research Grant-in-Aid for Scientific Research (B)
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Authorship：Principal investigator
Grant amount：\17160000 （ Direct Cost: \13200000 、 Indirect Cost：\3960000 ）
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Conversational response generation by smart speakers as attentive listeners
Grant number：18K19811 2018.6 - 2022.3
Grants-in-Aid for Scientific Research Grant-in-Aid for Challenging Research (Exploratory)
Matsubara Shigeki
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Authorship：Principal investigator Grant type：Competitive
Grant amount：\6370000 （ Direct Cost: \4900000 、 Indirect Cost：\1470000 ）
This study investigated methods for generating sympathetic responses to the speaker as an attentive listener of narratives. A large-scale conversational response corpus was collected, and quantitatively analyzed from the viewpoint of the relationship between the depth of sympathy and the type of response. The techniques for detecting words and phrases for which empathetic responses such as repeated responses and disagreement responses should be expressed and estimating the generation timing of responsive utterances were developed. Experimental results have shown the feasibility of appropriately generating attentive listening responses was confirmed.
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Grant number：18H03321 2018.4 - 2022.3
Grants-in-Aid for Scientific Research Grant-in-Aid for Scientific Research (B)
Nakamura Tsuyoshi
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Authorship：Coinvestigator(s)
In this study, we developed a prototype educational support robot for developmentally disabled children and investigated the effect of the robot on learning support by reading aloud to each other and praising each other to elementary school students. The experimental results showed that reading aloud with the robot increased the percentage of stops at punctuation marks and decreased the number of misreadings compared to reading aloud with the robot alone. This indicates that reading aloud with a praising robot and each other may improve the accuracy of reading aloud.
In addition, in order to understand the learner's state, we investigated the possibility of attaching a camera to the robot and estimating the learner's gazing area. The experimental results showed that the accuracy of each classifier was about 75%, but the accuracy of each gazing point showed that the accuracy was worse when the gazing point was located below the camera. -
Construction of large-scale multimodal database of intellectual creative activities and discovery of productivity improvement methods
Grant number：16H02867 2016.4 - 2019.3
Nagao Katashi
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Authorship：Coinvestigator(s)
We have realized a foundation that enables scientific analysis of various intellectual creative activities, mainly for university research. Specifically, we built a structured discussion/presentation database containing various information. In addition, as an application of this database, we have realized a method of evaluating the quality of intellectual creation activities. The evaluation model of the discussion was constructed by a statistical machine learning model, acquiring input data by extracting the acoustic and linguistic characteristics of the speech and the psychophysiological characteristics based on the heart rate of the speaker. The evaluation model of the presentation was constructed using the deep learning method by creating input data from the speaker's voice, eyes, slide contents and hand gestures in a VR environment.
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Attentive hearing with personal robot to motivate speakers
Grant number：15K12095 2015.4 - 2019.3
Matsubara Shigeki
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Authorship：Principal investigator
Grant amount：\3510000 （ Direct Cost: \2700000 、 Indirect Cost：\810000 ）
We developed a method of creating and using a dialogue corpus to detect the timing of generating back-channel feedback. It is possible to create a coherent corpus by tagging dialogue data with back-channel feedback comprehensively. The effectiveness of this method was confirmed by experiments. In addition, we conducted a collection of responsive utterances showing attentive hearing. We adopted a collection method of giving appropriate response expressions and their generation timing to narrative speech. It was confirmed that natural responses can be efficiently collected by this method.
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Simultaneous lectures interpretations based on translation strategies and incremental parsing
Grant number：26280082 2014.4 - 2020.3
Matsubara Shigeki
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Authorship：Principal investigator
Grant amount：\15990000 （ Direct Cost: \12300000 、 Indirect Cost：\3690000 ）
Simultaneous machine interpretation of lectures requires to utilize translation strategies specialized for simultaneous interpretation, and to incrementally analyze lectures to generate their structural units. In this study, we acquired translation strategies of professional simultaneous interpreters using a simultaneous interpretation corpus, and arranged the utilization of interpreting strategies such as word omission and progressive translation. In addition, we developed techniques for executing incremental syntactic and semantic parsing of sentences. The effectiveness of them was verified by evaluation experiments.
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音声対話における発話からの話者の個人性検出
2012.4 - 2014.3
科学研究費補助金 挑戦的萌芽研究
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Authorship：Principal investigator
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同時的な発話理解のための話し言葉処理に関する研究
2010.4 - 2014.3
科学研究費補助金 基盤研究(B)
松原 茂樹
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Authorship：Principal investigator
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音声対話システムの個性化に関する基礎的研究
2009.4 - 2011.3
科学研究費補助金
松原 茂樹
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Authorship：Principal investigator
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英語講演の同時通訳システムの実現に関する研究
2001.4 - 2003.3
科学研究費補助金 若手研究(B)
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Authorship：Principal investigator
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同時通訳システムの実現を目指した日英話し言葉翻訳に関する研究
1999.4 - 2001.3
科学研究費補助金 奨励研究
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Authorship：Principal investigator
Industrial property rights
Industrial property rights 8
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依存構造に基づく例文検索方法ならびに例文検索装置
松原茂樹、加藤芳秀
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Applicant：国立大学法人名古屋大学
Application no：2006-066829 Date applied：2006.3
Announcement no：2007-241908
Patent/Registration no：4802327 Date registered：2011.8
Country of applicant：Domestic
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自動要約装置及びコンピュータプログラム
大野誠寛、松原茂樹、柏岡秀紀、加藤直人
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Applicant：株式会社国際電気通信基礎技術研究所
Application no：2006-039804 Date applied：2006.3
Announcement no：2007-233823
Date registered：2007.9
Country of applicant：Domestic
文の係り受け構造解析を漸進的に行なう係り受け構造解析装置を提供する。
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係り受け構造解析装置及びコンピュータプログラム
大野誠寛、松原茂樹、柏岡秀紀、加藤直人
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Applicant：株式会社国際電気通信基礎技術研究所
Application no：2005-016341 Date applied：2005.1
Announcement no：2006-209173
Country of applicant：Domestic
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同時翻訳用有限状態トランスデューサの作成装置、及び同時翻訳装置
松原茂樹、稲垣康善、笠浩一朗
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Applicant：財団法人名古屋産業科学研究所
Application no：2004-216878 Date applied：2004.7
Announcement no：2006-039804
Country of applicant：Domestic
高速な同時翻訳処理を実現可能な有限状態トランスデューサを作成する装置、プログラム、記録媒体、作成方法及び同時翻訳装置を提供する。
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係り受け構造解析装置、及び、コンピュータで実行可能なプログラム
大野誠寛、松原茂樹、丸山、柏岡秀紀
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Applicant：株式会社国際電気通信基礎技術研究所
Application no：2004-036308 Date applied：2004.2
Announcement no：2005-228060
Country of applicant：Domestic
文の係り受け構造解析を効率的に行なう係り受け構造解析装置を提供する。
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有限状態変換器作成装置及び漸進的構文解析作成装置
稲垣、松原、加藤、湊
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Applicant：財団法人名古屋産業科学研究所
Application no：2003-060681 Date applied：2003.3
Announcement no：2004-271764
Date registered：2004.9
Country of applicant：Domestic
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対話システムに用いられる対話事例データ収集方法
村尾、河口、松原
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Applicant：三洋電機株式会社
Application no：2002-341297 Date applied：2002.11
Announcement no：2004-178087
Date registered：2004.6
Country of applicant：Domestic
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Apparatus and Method for Generating Finite State Transduce for Use in Inceremental Parsing
Shigeki Matsubara, et al.
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Application no：10/667, 497 Date applied：2004.1
Country of applicant：Foreign country
Teaching Experience (On-campus)
Teaching Experience (On-campus) 42
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Network Society
2023
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Practical knowledge of intelligent systemsⅡ-f
2023
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Intelligent Systems a
2023
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Intelligent System A2
2023
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Natural Language Processing 2
2022
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Natural Language Processing １
2022
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Informatics 3
2022
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Multimedia Information Processing 1
2022
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Network Society
2021
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Multimedia Information Processing 1
2021
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Practical knowledge of intelligent systemsⅡ-h
2021
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マルチメディア情報処理（１）
2019
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インフォマティクス（３）
2019
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Natural Language Processing (1)
2019
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基礎セミナーＢ
2018
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マルチメディア情報処理I
2018
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数理計画法
2018
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インフォマティクス（３）
2018
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基礎セミナーB
2017
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数理計画法
2017
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マルチメディア情報処理I
2017
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インフォマティクス（３）
2017
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自然言語処理・人工知能特論
2016
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数理計画法
2016
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基礎セミナーＢ
2015
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数理計画法
2015
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自然言語処理・人工知能特論
2015
-
基礎セミナー
2014
-
数理計画法
2014
-
数理計画法
2013
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情報リテラシー（理系）
2012
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自然言語処理・人工知能特論
2012
-
数理計画法
2012
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自然言語処理特論
2011
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Computer Literacy
2011
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First Year Seminar B
2011
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情報リテラシー（理系）
2010
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工場見学
2010
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情報リテラシー（理系）
2009
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知識社会システム論セミナー
2009
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社会システム情報学演習
2009
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離散数学及び演習
2006
Teaching Experience (Off-campus)
Teaching Experience (Off-campus) 7
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情報工学特別講義２
2019.4 - 2020.3 （Nagoya Institute of Technology）
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情報工学特別講義２
2018.4 - 2019.3 （Nagoya Institute of Technology）
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情報工学特別講義２
2016.4 - 2017.3 （Nagoya Institute of Technology）
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情報工学特別講義２
2014.4 - 2015.3 （Nagoya Institute of Technology）
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音声情報処理
2005.4 - 2006.3 （Aichi Prefectural University）
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音声情報処理
2004.4 - 2005.3 （Aichi Prefectural University）
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音声情報処理
2003.4 - 2004.3 （Aichi Prefectural University）