Updated on 2024/09/30

写真a

 
MATSUBARA, Shigeki
 
Organization
Information Technology Center Scholarly Information Division Professor
Graduate School
Graduate School of Information Science
Graduate School of Informatics
Title
Professor
Contact information
メールアドレス

Degree 1

  1. Doctor of Engineering ( 1998.3   Nagoya University ) 

Research Interests 1

  1. natural language processing, spoken language processing, document communication, scholarly communication, WWW, text mining, information retrieval, computational linguistics, corpus

Research Areas 5

  1. Others / Others  / natural language processing

  2. Others / Others  / information retrieval

  3. Others / Others  / digital library

  4. Others / Others  / spoken language processing

  5. Others / Others  / language resources

Current Research Project and SDGs 5

  1. Scholarly Communication

  2. conversational agent

  3. text processing

  4. Spoken document engineering

  5. Development of language resources metadata database

Research History 19

  1. Nagoya University   Part-time faculty member

    2023.10

  2. Nagoya University   Information Technology Center Scholarly Information Division   Professor

    2023.10

  3. Nagoya University

    2023.10

  4. 東海国立大学機構   デジタルユニバーシティ室   室員

    2021.4

  5. Nagoya University   Faculty

    2019.12

  6. Nagoya University   Professor

    2017.10

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    Country:Japan

  7. Nagoya University   Graduate School of Informatics Department of Intelligent Systems

    2017.10

  8. Nagoya University   Administrative Support Organizations Information Strategy Office

    2017.4 - 2017.9

  9. Nagoya University   Information Technology Center   Associate Professor

    2010.4 - 2010.10

  10. Nagoya University   Administrative Support Organizations Research Strategy & Promotion Office

    2009.4 - 2012.5

  11. Nagoya University   Associate professor

    2007.4 - 2017.9

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    Country:Japan

  12. NICT   Researcher

    2006.4 - 2010.3

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    Country:Japan

  13. Nagoya University   Graduate School of Information Science Department of Systems and Social Informatics

    2006.4 - 2010.3

  14. ATR   Researcher

    2002.8 - 2006.3

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    Country:Japan

  15. Nagoya University   School of Engineering Department of Electrical and Electronic Engineering and Information Engineering   Associate Professor

    2002.5 - 2009.3

  16. Nagoya University   University Library Library Studies

    2002.4 - 2016.3

  17. Nagoya University   Associate Professor

    2002.4 - 2007.3

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    Country:Japan

  18. Nagoya University   Assistant

    1998.4 - 2002.3

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    Country:Japan

  19. Japan Society for Promotion of Science   Research Fellow

    1996.4 - 1998.3

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    Country:Japan

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Education 1

  1. Nagoya University   Graduate School, Division of Engineering   Department of Information Engineering

    - 1998.3

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    Country: Japan

Professional Memberships 9

  1. 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

  2. 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

  3. 言語処理学会   理事, 編集委員

    2011.9

  4. IEEE

  5. Association for Computer Machinery (ACM)

  6. Association for Computational Linguistics (ACL)

  7. 人工知能学会   人工知能とファイナンス研究会委員

  8. 日本通訳翻訳学会

  9. 情報知識学会

    2023.4

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Committee Memberships 6

  1. 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

  2. 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

  3. 大学ICT推進協議会   主任研究員  

    2021.4   

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    Committee type:Academic society

  4. 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

  5. ORCID日本コンソーシアム   運営委員  

    2020.4   

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    Committee type:Academic society

  6. 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

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Papers 227

  1. The Power of URLs in Scholarly Papers: Their Role as Metadata Sources for Data Repositories Reviewed

    Kazuhiro Wada, Shigeki Matsubara

    in press     2024.12

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    Language:Japanese   Publishing type:Research paper (international conference proceedings)  

  2. Citation-Worthy Detection of URL Citations in Scholarly Papers Reviewed

    Kazuhiro Wada, Masaya Tsunokake, Shigeki Matsubara

    in press     2024.12

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    Authorship:Last author   Language:English   Publishing type:Research paper (international conference proceedings)  

  3. Capabilities and Challenges of LLMs in Metadata Extraction from Scholarly Papers Reviewed

    Yu Watanabe, Koichiro Ito, Shigeki Matsubara

    in press     2024.12

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    Authorship:Last author   Language:English   Publishing type:Research paper (international conference proceedings)  

  4. Estimation of Relevance between Datasets for Enhancing Accessibility of Research Artifacts Reviewed

    Koichiro Ito, Shigeki Matsubara

    in press     2024.12

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    Authorship:Last author   Language:English   Publishing type:Research paper (international conference proceedings)  

  5. 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)  

  6. Estimating Metadata of Research Artifacts to Enhance their Findability Reviewed

    Koichiro Ito, Shigeki Matsubara

    Proceedings of 2024 IEEE 20th International Conference on e-Science (e-Science)     page: 1 - 2   2024.9

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    Authorship:Last author   Language:Japanese   Publishing type:Research paper (international conference proceedings)  

    DOI: 10.1109/e-Science62913.2024.10678684

  7. 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)  

  8. 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)  

  9. 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

    CiNii Research

  10. Re-Evaluating Syntax-Based Negation Scope Resolution Reviewed

    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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    Authorship:Last author   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>

    DOI: 10.1587/transinf.2023edl8050

    Research data storage URL: https://nagoya.repo.nii.ac.jp/records/2007004

    Web of Science

    Scopus

    CiNii Research

  11. Enhancing Findability and Searchability of Research Data: Metadata Conversion and Registration in Institutional Repositories

    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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    Language:English   Publishing type:Research paper (scientific journal)   Publisher:Data Science Journal  

    This paper outlines our practice to enhance the findability and searchability of research data through metadata conversion from the Space Physics Archive Search and Extract (SPASE) schema to a more generic schema, the Japan Consortium for Open Access Repository (JPCOAR) schema, and registration of converted metadata in institutional repositories. Traditionally, earth and space science research data have been organized using the SPASE schema. Although the SPASE schema is comprehensive, its usage has been restricted to highly professional databases, limiting broader accessibility and impeding cross-disciplinary research. We discuss a case study at Nagoya University where 284 metadata records were converted from SPASE to JPCOAR, and illustrate the process and benefits of this conversion. This approach significantly improved the visibility and usability of metadata across various platforms like the Institutional Repositories DataBase (IRDB), the Data Catalog Cross-Search System, and Google’s Dataset Search, extending access to a wider range of users beyond the highly professional scientific community. This approach also aligns with national policies in Japan on research data management and simplifies metadata handling for researchers. Future direction includes expanding this conversion and registration model to other universities and institutions by leveraging the ubiquity of the SPASE schema in the earth and space science fields. Our practice may be useful in other research fields. This initiative aims to improve the overall findability of research data, to foster cross-disciplinary collaboration, and to enhance the value of research data itself and of creators and managers of the data.

    DOI: 10.5334/dsj-2024-040

    Scopus

  12. 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)  

  13. 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)  

  14. Identifying Influential References in Scholarly Papers Using Citation Contexts Reviewed

    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   2023.12

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    Language:English   Publishing type:Research paper (scientific journal)  

    DOI: 10.1007/978-981-99-8088-8_13

    Web of Science

    Scopus

  15. 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)  

  16. 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)  

    Research data storage URL: https://nagoya.repo.nii.ac.jp/records/2007004

  17. 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

    Research data storage URL: https://nagoya.repo.nii.ac.jp/records/2003368

    CiNii Research

  18. 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.

    DOI: 10.14923/transfunj.2022hap0013

    CiNii Research

  19. 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)  

  20. 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)  

  21. 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)  

  22. Japanese Word Reordering Based on Topological Sort Reviewed

    Sun P., Ohno T., Matsubara S.

    International Conference on Agents and Artificial Intelligence   Vol. 3   page: 768 - 775   2023.2

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    Authorship:Last author   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.

    DOI: 10.5220/0011775000003393

    Scopus

  23. Question Difficulty Decision for Automated Interview in Foreign Language Test

    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.

    DOI: 10.5220/0011774900003393

    Scopus

  24. 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)  

  25. 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)  

  26. 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)  

  27. 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.

    DOI: 10.1007/978-3-031-21756-2_35

    Web of Science

    Scopus

  28. 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.

    Scopus

  29. 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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    Language:English   Publishing type:Research paper (scientific journal)  

    Web of Science

  30. 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)  

  31. 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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    Authorship:Last author   Language:English   Publishing type:Research paper (international conference proceedings)  

  32. 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)  

  33. 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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    Authorship:Last author   Language:English   Publishing type:Research paper (international conference proceedings)  

  34. 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)  

  35. Classification of URLs Citing Research Artifacts in Scholarly Documents based on Distributed Representations Reviewed 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   2021.9

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    Authorship:Last author   Language:English   Publishing type:Research paper (international conference proceedings)  

    Scopus

  36. 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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    Authorship:Last author   Language:Japanese   Publishing type:Research paper (scientific journal)  

  37. 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.

    Scopus

  38. 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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    Language:English   Publishing type:Research paper (scientific journal)  

    Web of Science

  39. 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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    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.

    DOI: 10.1109/ASRU51503.2021.9688132

    Web of Science

    Scopus

  40. 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.

    Scopus

  41. Natural Language Inference using Neural Network and Tableau Method Reviewed

    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:Japanese   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.

    Scopus

  42. 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)  

    DOI: 10.5220/0010335911441150

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  43. 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)  

    DOI: 10.1109/IALP51396.2020.9310461

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  44. 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>

    DOI: 10.1541/ieejeiss.140.1357

    Scopus

    CiNii Research

  45. 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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    Authorship:Last author   Language:English   Publishing type:Research paper (international conference proceedings)  

  46. 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)  

    DOI: 10.1007/978-3-030-64452-9_13

    Scopus

  47. Relation between degree of empathy for narrative speech and type of responsive utterance in attentive listening

    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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    Language:Japanese   Publishing type:Research paper (scientific journal)  

    Scopus

  48. Features of Source Language That Affect the Word Order of Target Language in Simultaneous Interpretation Reviewed

    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

    CiNii Research

  49. 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.

    Scopus

  50. 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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    Language:Japanese   Publishing type:Research paper (scientific journal)  

    Web of Science

  51. Relation between Degree of Empathy for Narrative Speech and Type of Responsive Utterance in Attentive Listening

    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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    Language:English   Publishing type:Research paper (scientific journal)  

    Web of Science

  52. 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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    Language:English   Publishing type:Research paper (scientific journal)  

    Web of Science

  53. 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.

    Scopus

  54. 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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  55. 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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  56. 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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  57. Statistical analyses of missing translations in simultaneous interpretation using a large-scale bilingual speech corpus

    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.

    Scopus

  58. 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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    Web of Science

  59. 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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  60. 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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  61. 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>

    DOI: 10.1541/ieejeiss.138.637

    Scopus

    CiNii Research

  62. 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

    CiNii Research

  63. 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

    CiNii Research

  64. 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:Japanese   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.

    Scopus

  65. Statistical Analyses of Missing Translations in Simultaneous Interpretation Using a Large-scale Bilingual Speech Corpus

    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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    Web of Science

  66. 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)  

    DOI: 10.1587/transinf.2016EDP7357

  67. 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)  

    DOI: 10.1145/3022227.3022257

    Scopus

  68. 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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  69. 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

    CiNii Research

  70. 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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  71. 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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  72. 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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    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.

  73. 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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  74. 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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  75. 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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  76. 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)  

    DOI: 10.14923/transinfj.2014JDP7088

  77. 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)  

    DOI: 10.1587/transinf.2014EDL8186

  78. 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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  79. 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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    Authorship:Lead author   Language:Japanese   Publishing type:Research paper (scientific journal)  

  80. 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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  81. 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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  82. 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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  83. 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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  84. 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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    Authorship:Lead author   Language:Japanese  

  85. 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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  86. 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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  87. 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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  88. 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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    Authorship:Lead author   Language:English  

  89. 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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  90. Detection of Favorite Phrases from Conversational Speech Reviewed

    Tomohiro Ohno, Shigeki Matsubara

        page: 163-167   2012.2

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    Language:English  

  91. 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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  92. 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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  93. 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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  94. 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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  95. 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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  96. 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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  97. 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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  98. 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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  99. 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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  100. 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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  101. 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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  102. 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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  103. 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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  104. 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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  105. 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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  106. 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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  107. 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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  108. 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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  109. 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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  110. 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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  111. *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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  112. 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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  113. 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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  114. *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

  115. 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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  116. 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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  117. 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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  118. 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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  119. 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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  120. *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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    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。

  121. 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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  122. *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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    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。

  123. 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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  124. 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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  125. 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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  126. 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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  127. *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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  128. 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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  129. 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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  130. 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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  131. 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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  132. 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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  133. 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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  134. 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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  135. 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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  136. 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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  137. 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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  138. 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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  139. 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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  140. 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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  141. 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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  142. 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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  143. 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)  

  144. 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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  145. 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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  146. 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.

  147. 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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  148. 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.

  149. 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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  150. 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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  151. 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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  152. 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.

  153. 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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  154. 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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  155. 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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  156. 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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  157. 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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  158. 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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  159. 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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  160. 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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  161. 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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  162. 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  

  163. 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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    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.

  164. 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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  165. 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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  166. 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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  167. 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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  168. 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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  169. 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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  170. 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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  171. 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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  172. 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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  173. 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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  174. 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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  175. 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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  176. 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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  177. 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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  178. 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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  179. 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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  180. 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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  181. 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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  182. 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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  183. 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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  184. 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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  185. 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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  186. 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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  187. 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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  188. 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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  189. 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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  190. 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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  191. 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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  192. 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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  193. 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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  194. 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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  195. 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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  196. 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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  197. 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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  198. 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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  199. 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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  200. 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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  201. 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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  202. 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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  203. 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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  204. 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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  205. 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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  206. 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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  207. 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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  208. 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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  209. 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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  210. 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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  211. 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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  212. 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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  213. 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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  214. 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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  215. 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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  216. 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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  217. 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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  218. 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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  219. 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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  220. 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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  221. 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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  222. 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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  223. 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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  224. 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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  225. 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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  226. 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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  227. 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 6

  1. 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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  2. 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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    Language:English

  3. 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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    Language:English

  4. 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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    Language:English

  5. 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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    Language:English

  6. 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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    Language:English

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MISC 64

  1. 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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    Authorship:Last author   Language:Japanese   Publishing type:Research paper, summary (national, other academic conference)  

  2. 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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    Authorship:Last author   Language:Japanese   Publishing type:Research paper, summary (national, other academic conference)  

  3. 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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    Authorship:Last author   Language:Japanese   Publishing type:Research paper, summary (national, other academic conference)  

  4. 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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  5. 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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    Authorship:Last author   Language:Japanese   Publishing type:Research paper, summary (national, other academic conference)  

  6. 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

  7. 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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    Authorship:Last author   Language:Japanese   Publishing type:Research paper, summary (national, other academic conference)  

  8. 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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  9. 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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  10. 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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  11. 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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  12. 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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  13. 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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  14. 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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  15. 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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  16. 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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    Authorship:Lead author, Corresponding author   Language:Japanese   Publishing type:Research paper, summary (national, other academic conference)  

  17. 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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  18. 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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  19. 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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  20. 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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  21. 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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  22. 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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  23. 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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  24. 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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  25. 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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  26. 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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  27. 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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  28. 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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  29. 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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  30. 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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  31. 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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  32. 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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  33. 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

    CiNii Research

    Other Link: https://www.jstage.jst.go.jp/article/jnlp/28/3/28_743/_article/-char/ja/

  34. 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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  35. 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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  36. 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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  37. 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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  38. 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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  39. 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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  40. 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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  41. 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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  42. 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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  43. 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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  44. 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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  45. 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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  46. 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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  47. 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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  48. 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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  49. 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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  50. 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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  51. 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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  52. 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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  53. 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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  54. 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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  55. 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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  56. 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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  57. 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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  58. 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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  59. 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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  60. 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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  61. 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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  62. 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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  63. 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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  64. 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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▼display all

Presentations 52

  1. 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  

  2. 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  

  3. 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  

  4. 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  

  5. 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  

  6. 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  

  7. 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  

  8. 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)  

  9. 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  

  10. 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  

  11. 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)  

  12. 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)  

  13. 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  

  14. 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)  

  15. 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  

  16. 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  

  17. 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)  

  18. 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)  

  19. 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)  

  20. 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)  

  21. 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)  

  22. 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)  

  23. 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)  

  24. 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)  

  25. 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)  

  26. 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)  

  27. 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  

  28. 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  

  29. 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  

  30. 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  

  31. 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  

  32. 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  

  33. 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  

  34. 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  

  35. 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  

  36. 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)  

  37. 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  

  38. 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  

  39. 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  

  40. 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  

  41. 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  

  42. 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  

  43. 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  

  44. 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  

  45. 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。

  46. 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  

  47. 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  

  48. 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  

  49. 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  

  50. 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  

  51. 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  

  52. 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  

▼display all

Works 1

  1. Simultaneous Interpretation Database

    1999.4
    -
    2003.3

KAKENHI (Grants-in-Aid for Scientific Research) 14

  1. Contribution Measurement of Cited Literatures in Scholarly Papers: Towards a New Method for Literature Evaluation

    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 )

  2. 構文論に基づく自然言語推論システムの開発

    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する.テキスト間の推論的関係を,ニューラルネットワークに基づく手法と同程度の精度・カバー率で同定し,かつ,それが同定される過程を人が解釈できる形で提示できる自然言語推論システムの実現を目標とする.本年度は,(1)開発する自然言語推論システムのモデル理論的な定式化,(2)自然言語推論を指向した構文解析の開発,を行った.
    (1)本研究では,ニューラルネットワークに基づく推論と,タブロー法に基づく証明を統合した自然言語推論システムを開発している.本システムの理論的な限界を明らかにするために,開発する自然言語推論システムをモデル理論的に定式化し,その理論的性質を明らかにした.開発するシステムにおいては,ある種の健全性が常に成り立つ一方で,完全性については成り立たないケースがあることが明らかとなった.
    (2)文中に出現する否定表現について,その影響が及ぶ範囲(スコープ)を同定する構文解析手法を開発した.自然言語推論において,スコープの同定は重要な役割を担う.本手法では,否定表現のスコープを構文構造に基づき同定する.本手法は,ヒューリスティックなルールに基づく従来手法を改良したものである.ニューラルネットワークに基づく構文解析とルールに基づくスコープ同定を組み合わせることにより,否定スコープ認識タスクにおいて,ニューラルネットワークに基づく最新の手法と同程度の精度・再現率が達成できることを実験により確認した.
    (1)本研究で開発する自然言語推論システムの理論的限界を明らかにした.開発するシステムの限界を明らかにすることは研究の方向性を見定める上で重要であり,意義のある研究成果である.本研究成果は,国際会議PACLICにおいて発表した.
    (2)自然言語推論システムのコンポーネントとなる構文解析システムを開発した.当初の研究計画通り,スコープを同定できる構文解析を実現し,否定スコープ認識タスクにおいて従来手法と同程度の性能を達成することができた.
    当初の研究計画通り,令和5年度は以下の研究課題に取り組む.
    (1)自然言語推論を指向した構文解析を開発する.今年度の研究成果である否定スコープ同定の機能を組み込んだ構文解析を拡張し,量化子,命題的態度などのスコープを扱える構文解析を開発する.
    (2)自然言語推論のための推論ルールを拡充する.最新の常識的知識ベースの成果などを取り入れ,常識的知識に基づく推論についてその推論ルールを検討する.

  3. 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 )

  4. 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)

      More details

    Authorship:Principal investigator 

    Grant amount:\17160000 ( Direct Cost: \13200000 、 Indirect Cost:\3960000 )

  5. 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.

  6. Development of educational support robot to foster self-esteem in children with mild developmental disabilities

    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.

  7. 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.

  8. 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.

  9. 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.

  10. 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 

  11. 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 

  12. 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 

  13. 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 

  14. 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 

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Industrial property rights 8

  1. 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  

  2. 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。

  3. 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  

  4. 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。

  5. 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。

  6. 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  

  7. 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  

  8. 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  

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Teaching Experience (On-campus) 42

  1. Network Society

    2023

  2. Practical knowledge of intelligent systemsⅡ-f

    2023

  3. Intelligent Systems a

    2023

  4. Intelligent System A2

    2023

  5. Natural Language Processing 2

    2022

  6. Natural Language Processing 1

    2022

  7. Informatics 3

    2022

  8. Multimedia Information Processing 1

    2022

  9. Network Society

    2021

  10. Multimedia Information Processing 1

    2021

  11. Practical knowledge of intelligent systemsⅡ-h

    2021

  12. マルチメディア情報処理(1)

    2019

  13. インフォマティクス(3)

    2019

  14. Natural Language Processing (1)

    2019

  15. 基礎セミナーB

    2018

  16. マルチメディア情報処理I

    2018

  17. 数理計画法

    2018

  18. インフォマティクス(3)

    2018

  19. 基礎セミナーB

    2017

  20. 数理計画法

    2017

  21. マルチメディア情報処理I

    2017

  22. インフォマティクス(3)

    2017

  23. 自然言語処理・人工知能特論

    2016

  24. 数理計画法

    2016

  25. 基礎セミナーB

    2015

  26. 数理計画法

    2015

  27. 自然言語処理・人工知能特論

    2015

  28. 基礎セミナー

    2014

  29. 数理計画法

    2014

  30. 数理計画法

    2013

  31. 情報リテラシー(理系)

    2012

  32. 自然言語処理・人工知能特論

    2012

  33. 数理計画法

    2012

  34. 自然言語処理特論

    2011

  35. First Year Seminar B

    2011

  36. Computer Literacy

    2011

  37. 情報リテラシー(理系)

    2010

  38. 工場見学

    2010

  39. 情報リテラシー(理系)

    2009

  40. 知識社会システム論セミナー

    2009

  41. 社会システム情報学演習

    2009

  42. 離散数学及び演習

    2006

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Teaching Experience (Off-campus) 7

  1. 情報工学特別講義2

    2019.4 - 2020.3 Nagoya Institute of Technology)

  2. 情報工学特別講義2

    2018.4 - 2019.3 Nagoya Institute of Technology)

  3. 情報工学特別講義2

    2016.4 - 2017.3 Nagoya Institute of Technology)

  4. 情報工学特別講義2

    2014.4 - 2015.3 Nagoya Institute of Technology)

  5. 音声情報処理

    2005.4 - 2006.3 Aichi Prefectural University)

  6. 音声情報処理

    2004.4 - 2005.3 Aichi Prefectural University)

  7. 音声情報処理

    2003.4 - 2004.3 Aichi Prefectural University)

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