Faculty Profiles - MATSUBARA, Shigeki

Negation Scope Conversion for Unifying Negation-Annotated Datasets Reviewed Open Access

Yoshida Asahi, Kato Yoshihide, Matsubara Shigeki

Journal of Natural Language Processing Vol. 32 ( 1 ) page： 300 - 329 2025.3

Authorship：Last author Language：English Publishing type：Research paper (scientific journal) Publisher：The Association for Natural Language Processing

Negation scope resolution is a technique that identifies the part of a sentence affected by the negation cue. The three major corpora used for it, the BioScope corpus, the SFU review corpus, and the Sherlock dataset, have different annotation schemes for negation scope. Due to the different annotations, it is difficult to use the three corpora together in the study of negation scope resolution. To address this issue by merging the corpora into a unified dataset based on a common annotation scheme, we propose a method for automatically converting the scopes of BioScope and SFU to those of Sherlock. We conducted an experiment to evaluate the accuracy of our method using a dataset obtained by manually annotating the negation scopes to a tiny portion of BioScope and SFU, verifying that our method can convert the scopes with high accuracy. In addition, we conducted another experiment to verify the effectiveness of our method from a pragmatic perspective, where we fine-tuned PLM-based negation scope resolution models using the unified dataset obtained by our method. The results demonstrated that the performances of the models increase when fine-tuned on the unified dataset, unlike the simply combined one, which supports the effectiveness of our method.

DOI： 10.5715/jnlp.32.300

Research data storage URL： https://github.com/asahi-y/negation-scope-conversion

A Preliminary Study on Metadata Compatibility and Automatic Conversion among LOD Datasets

Cong Y., Takaku M., Minaminyama Y., Aoki T., Matsubara S.

Proceedings of the International Conference on Dublin Core and Metadata Applications 2025

Language：English Publishing type：Research paper (scientific journal) Publisher：Proceedings of the International Conference on Dublin Core and Metadata Applications

In recent years, open science has promoted the web-based publication and reuse of research data. Publishing such data typically involves selecting a domain-specific metadata schema and using repositories for distribution. In Linked Open Data (LOD) datasets, domain-specific metadata schemas like VoID and DCAT are commonly used. However, differences in metadata schemas across institutions hinder cross-domain search and reuse due to duplicated terms and semantic ambiguity. The lack of clear metadata guidelines and examples leads to inconsistent metadata creation, ultimately compromising interoperability. This study addresses these issues by proposing a method to enhance compatibility among metadata schemas. Specifically, it focuses on mapping LOD schemas from VoID and DCAT to DataCite metadata schema. Additionally, it explores automating conversion process by pseudocode. This approach aims to align semantics across domain-specific metadata schemas and improve the findability and interoperability of dataset metadata.

DOI： 10.23106/dcmi.952519392

A Commonsense Knowledge Graph for Representing Exceptions Concerning Extrinsic Factors

Huang S., Kato Y., Matsubara S.

Proceedings of the IEEE International Conference on Big Data Bigdata ( 2025 ) page： 5679 - 5688 2025

Language：English Publishing type：Research paper (scientific journal) Publisher：Proceedings of the IEEE International Conference on Big Data Bigdata

One of the features of commonsense knowledge is the existence of exceptions. While existing commonsense knowledge graphs (CKGs) can capture such relationships to some extent, their triple-based structure fundamentally limits the representation of exceptions influenced by extrinsic factors. The semantics of current triples assume uniform validity, making it difficult to express how commonsense knowledge may not always hold when affected by such extrinsic factors. This paper introduces the extrinsic factor-augmented commonsense knowledge graph (xCKG), which extends the conventional triple structure to a quadruple format that explicitly integrates extrinsic factors into the representation. Within the semantics of proposed xCKG, exceptions are formally defined by relating pairs of negated and affirmative quadruples through SubsetOf relation among the values of extrinsic factors. Specifically, when the value of one extrinsic factor is defined as a subset of another, the corresponding negated quadruple is regarded as an exception to the affirmative one, thereby enabling xCKG to formally capture exceptional relations as explicit structures within the graph. To confirm the feasibility of the proposed xCKG, we introduce a pipeline for constructing xCKGs from existing CKGs, utilizing large language models to generate and verify related tuples. An experiment was conducted to evaluate the pipeline, and the results demonstrate that the proposed pipeline can construct xCKGs from existing CKGs.

DOI： 10.1109/BigData66926.2025.11401422

Estimation of Relevance Between Datasets for Enhancing Accessibility of Research Artifacts Reviewed

The 30th Anniversary Initiatives of the Association for Natural Language Processing Open Access

Inoue Naoya, Ouchi Hiroki, Kawahara Daisuke, Sudoh Katsuhito, Nagata Ryo, Komachi Mamoru, Kurohashi Sadao, Matsubara Shigeki, Miyao Yusuke

Journal of Natural Language Processing Vol. 32 ( 1 ) page： 330 - 341 2025

Human Performance in Incremental Dependency Parsing: Dependency Structure Annotations and their Analyses Reviewed

Hiroki Unno, Tomohiro Ohno, Koichiro Ito, Shigeki Matsubara

Proceedings of the 37th Pacific Asia Conference on Language, Information and Computation (PACLIC-2024) 2024.12

Development of Generative AI Chatbot Using Q&A of Lectures for Enhancing Research Data Management in Universities

Wada Kazuhiro, Matsubara Shigeki

Proceedings of the Annual Conference of Academic Exchange for Information Environment and Strategy Vol. 2024 ( 0 ) page： 137 - 142 2024.12

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

Watanabe Y., Ito K., Matsubara S.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 15493 page： 280 - 287 2024.12

Ito K., Matsubara S.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 15494 page： 97 - 103 2024.12

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

Wada K., Matsubara S.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 15494 page： 85 - 92 2024.12

Enhancing accessibility of research data through metadata conversion and registration in institutional repositories: Practices in the field of Solar-Terrestrial Physics Open Access

SHINBORI Atsuki, NOSÉ Masahito, MIYOSHI Yoshizumi, HORI Tomoaki, OOHIRA Tsukasa, NAOE Chizuko, OKAMOTO Maiko, SAGARA Takeshi, AOKI Takaaki, MATSUBARA Shigeki, GAKIYA Rui, YAMADA Kazunari, IMAJO Shun, MINAMIYAMA Yasuyuki, ABE Shuji, TAKAHASHI Ichiro, TANAKA Yoshimasa, UENO Satoru, TANAKA Sachie, HAYASHI Hidekazu, HORI Yuko, ASHIKITA Takuya, OKAMURA Nanako, HIRANO Kaoru, SAITO Yasuo, SHIMIZU Toshiyuki

The Journal of Information Science and Technology Association Vol. 74 ( 11 ) page： 487 - 493 2024.11

Language：Japanese Publishing type：Research paper (scientific journal) Publisher：Information Science and Technology Association, Japan

The “Inter-university Upper atmosphere Global Observation NETwork (IUGONET)” project has developed a metadata database for ground-based observation data in Solar-Terrestrial Physics. In order to make this metadata database accessible to a wide range of research communities and the general public, we converted metadata in different metadata schema and registered them in academic institutional repositories. As a result, through regular harvesting between databases, the metadata has also been registered in the Institutional Repositories Database (IRDB), the Data Catalog Cross-Search System, and Google’s Dataset Search, significantly enhancing the visibility and accessibility of research data. Furthermore, effective metadata management was implemented in response to research metadata maintenance requests from policy-making bodies.

DOI： 10.18919/jkg.74.11_487

Responsive Utterance Generation to Show Disagreement to Narrative in Attentive Listening Reviewed

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

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

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

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

Ito Koichiro, Murata Masaki, Ohno Tomohiro, Matsubara Shigeki

Journal of Natural Language Processing Vol. 31 ( 1 ) page： 212 - 249 2024.3

Authorship：Last author Language：Japanese Publishing type：Research paper (scientific journal) Publisher：The Association for Natural Language Processing

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.

DOI： 10.5715/jnlp.31.212

Re-Evaluating Syntax-Based Negation Scope Resolution

YOSHIDA Asahi, KATO Yoshihide, MATSUBARA Shigeki

IEICE Transactions on Information and Systems Vol. E107.D ( 1 ) page： 165 - 168 2024.1

Language：English Publishing type：Research paper (scientific journal) Publisher：The Institute of Electronics, Information and Communication Engineers

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.

DOI： 10.1587/transinf.2023edl8050

Web of Science

Enhancing Findability and Searchability of Research Data: Metadata Conversion and Registration in Institutional Repositories Open Access

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

Citation-Worthy Detection of URL Citations in Scholarly Papers Open Access

Kazuhiro Wada, Masaya Tsunokake, Shigeki Matsubara

Proceedings of the 24th ACM/IEEE Joint Conference on Digital Libraries (JCDL-2024) ( 28 ) page： 1 - 5 2024

Negation Scope Conversion: Towards a Unified Negation-Annotated Dataset

Yoshida, A; Kato, Y; Matsubara, S

PROCEEDINGS OF THE 2024 JOINT INTERNATIONAL CONFERENCE ON COMPUTATIONAL LINGUISTICS, LANGUAGE RESOURCES AND EVALUATION (LREC-COLING 2024) page： 12093 - 12099 2024

On an Intermediate Task for Classifying URL Citations on Scholarly Papers

Wada, K; Tsunokake, M; Matsubara, S

PROCEEDINGS OF THE 2024 JOINT INTERNATIONAL CONFERENCE ON COMPUTATIONAL LINGUISTICS, LANGUAGE RESOURCES AND EVALUATION (LREC-COLING 2024) page： 12359 - 12369 2024

Negation Scope Conversion: Towards a Unified Negation-Annotated Dataset Reviewed

加藤芳秀, 松原茂樹

Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation Vol. - page： 12093 - 12099 2024

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

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

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

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

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

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

Authorship：Corresponding author Language：Japanese Publishing type：Research paper (scientific journal) Publisher：The Association for Natural Language Processing

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.

DOI： 10.5715/jnlp.30.632

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

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

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

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

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

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

Question Difficulty Decision for Automated Interview in Foreign Language Test Open Access

Lin M., Ito K., Matsubara S.

International Conference on Agents and Artificial Intelligence Vol. 3 page： 760 - 767 2023

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

Japanese Word Reordering Based on Topological Sort Open Access

Sun P., Ohno T., Matsubara S.

International Conference on Agents and Artificial Intelligence Vol. 3 page： 768 - 775 2023

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

Bottom-up Japanese Word Ordering Using BERT Open Access

Yamazoe M., Ohno T., Matsubara S.

International Conference on Agents and Artificial Intelligence Vol. 3 page： 673 - 681 2023

Language：English Publishing type：Research paper (scientific journal) Publisher：International Conference on Agents and Artificial Intelligence

Although Japanese is widely regarded as a relatively free word order language, word order in Japanese is not entirely arbitrary and has some sort of preference. As a result, it is an important technique to produce a sentence that is not only grammatically correct but also easy to read. This paper proposes a method for the word ordering of a whole Japanese sentence when the dependency relations between words are given. Using BERT, the method identifies the easy-to-read word order for a syntactic tree based on bottom-up processing. We confirmed the effectiveness of our method through an experiment on word ordering using newspaper articles.

DOI： 10.5220/0011743600003393

Using Citation Contexts for Identifying Meaningful References in Scholarly Papers Open Access

MATSUBARA Shigeki, IKOMA Tomoki

Proceedings of the Annual Conference of JSAI Vol. JSAI2023 ( 0 ) page： 1E3GS604 - 1E3GS604 2023

Language：Japanese Publishing type：Research paper (scientific journal) Publisher：The Japanese Society for Artificial Intelligence

Citation count is the most recognized metric for measuring the impact of scholarly papers. However, cited papers contribute to a citing paper in a variety of ways. In order to accurately measure the individual impact of cited papers, it is crucial to quantify their respective degree of contribution to a citing paper. This study proposes a method to automatically identify which papers are highly meaningful to a citing paper by extracting the description of a cited paper from a citing sentence for use in identifying meaningful references. Experimental results demonstrated the effectiveness of the extracted description.

DOI： 10.11517/pjsai.jsai2023.0_1e3gs604

Extracting Information about Research Resources from Scholarly Papers

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

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

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

Saji, A; Matsubara, S

FROM BORN-PHYSICAL TO BORN-VIRTUAL: AUGMENTING INTELLIGENCE IN DIGITAL LIBRARIES, ICADL 2022 Vol. 13636 page： 440 - 448 2022

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

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

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.

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

Use of empty categories for conversion of phrase structure into dependency structure Open Access

KATO Yoshihide, MATSUBARA Shigeki Kobayashi, KOBAYASHI Mikiteru

Proceedings of the Annual Conference of JSAI Vol. JSAI2022 ( 0 ) page： 1P4GS603 - 1P4GS603 2022

Language：Japanese Publishing type：Research paper (scientific journal) Publisher：The Japanese Society for Artificial Intelligence

Syntactic conversion methods are useful for comparing the performance of parsers that are based on different syntactic formalism. Most of the methods, however, do not treat empty categories, which the current phrase structure parsers can identify. This paper proposes a method that uses empty category information for conversion from phrase structures into dependency structures. Our proposed method converts a phrase structure of Penn Treebank (PTB) into a dependency structure of Enhanced Universal Dependencies (EUD). The method copies the phrase structures corresponding to empty categories and replaces each empty category with the corresponding phrase structure. This treatment of empty categories enables us to derive dependency relations that are represented by empty categories.

DOI： 10.11517/pjsai.jsai2022.0_1p4gs603

A Model-Theoretic Formalization of Natural Language Inference Using Neural Network and Tableau Method

A Model-Theoretic Formalization of Natural Language Inference Using Neural Network and Tableau Method Reviewed Open Access

加藤芳秀, 松原茂樹

Proceedings of the 36th Pacific Asia Conference on Language, Information and Computation Vol. - page： 430 - 437 2022

Saji A., Kato Y., Matsubara S.

Paclic Pacific Asia Conference on Language Information and Computation ( 2022 ) page： 430 - 437 2022

Language：English Publishing type：Research paper (scientific journal) Publisher：Paclic Pacific Asia Conference on Language Information and Computation

Saji et al. (2021) integrated a neural-based NLI model and a symbolic one into a framework to get the best of both worlds. This framework is based on a tableau method, which is a proof system for formal logic; however, it has a remaining issue that its theoretical limitations have not been clarified. To solve this issue, this paper formalizes the framework model-theoretically. On the basis of the formalization, we demonstrate that a certain kind of soundness holds for this framework, while the completeness does not.

Word reordering and comma insertion integrated with shift-reduce dependency parsing Reviewed

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

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

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

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

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

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 Open Access

蔡仲煕, 笠浩一朗, 松原茂樹

通訳翻訳研究 Vol. 20 page： 25 - 40 2021.2

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

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.

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

Classification of URLs Citing Research Artifacts in Scholarly Documents based on Distributed Representations International journal Open Access

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

Natural Language Inference using Neural Network and Tableau Method Open Access

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

Language：English Publishing type：Research paper (scientific journal) Publisher：Proceedings of the 35th Pacific Asia Conference on Language Information and Computation Paclic 2021

Natural language inference (NLI) is the task of identifying the inferential relation between a text pair. Neural-based approaches recently achieved high performance on the NLI task, but they cannot explain their reasoning processes. On the other hand, symbolic approaches have an advantage that the reasoning process is understandable to humans. This paper proposes a method to integrate a neural NLI model and a tableau proof system, the latter of which explains the reasoning processes. The standard tableau method consists of decomposing logical formulas by applying inferential rules, and checking whether or not there exists a valuation that satisfies the given constraints. Unlike the standard tableau method, our method adopts not logical formulas but dependency structures as its ingredients and uses a neural NLI model for the latter process. In order to analyze the behavior of a neural NLI model, we conducted an experiment on the neural NLI model alone and the proposed method using the SNLI corpus.

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

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.

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

Language：English Publishing type：Research paper (scientific journal) Publisher：2021 IEEE Automatic Speech Recognition and Understanding Workshop Asru 2021 Proceedings

Narrating is a fundamental human desire. In order to satisfy the desire, it is more effective to have multiple listeners listen to narratives than to have one listener does. Conversational agents, e.g., communication robots and smart speakers, are expected to listen to narratives, instead of human listeners. For such agents to be recognized as narrative listeners, it is necessary to generate responsive utterances at appropriate timings. This paper proposes a method to estimate the generation timings of responsive utterances by active listeners of spoken narratives. The proposed method estimates them by encoding acoustic and linguistic information extracted from narratives with a transformer-based approach. To evaluate the performance of the proposed method, an experiment was conducted using 131, 616 responsive utterances to narratives. The experimental results demonstrated that the proposed method was effective for the estimation and both the acoustic and linguistic information was useful.

DOI： 10.1109/ASRU51503.2021.9688132

Web of Science

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

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

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

Language：Japanese Publishing type：Research paper (scientific journal) Publisher：The Institute of Electrical Engineers of Japan

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.

DOI： 10.1541/ieejeiss.140.1357

Identification of Research Data References Based on Citation Contexts

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

Tomoki Ikoma, Shigeki Matsubara

Vol. 12504 LNCS page： 149 - 156 2020

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

Features of Source Language That Affect the Word Order of Target Language in Simultaneous Interpretation Reviewed Open Access

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

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

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

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.

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

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

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

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

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

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.

Statistical analyses of missing translations in simultaneous interpretation using a large-scale bilingual speech corpus

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

同時通訳における作業記憶の負荷と訳出との関係 Reviewed Open Access

笠浩一朗, 松原茂樹

通訳翻訳研究 ( 18 ) page： 1-12 2019.2

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 Open Access

蔡仲煕, 笠浩一朗, 松原茂樹

通訳翻訳研究 ( 18 ) page： 1-14 2019.2

Cai Z., Ryu K., Matsubara S.

LREC 2018 - 11th International Conference on Language Resources and Evaluation page： 4282 - 4288 2019

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.

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

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

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

Collection of Responsive Utterances to Show Attentive Hearing of Narratives

Matsubara Shigeki, Murata Masaki, Ohno Tomohiro

IEEJ Transactions on Electronics, Information and Systems Vol. 138 ( 5 ) page： 637 - 638 2018.5

Language：Japanese Publishing type：Research paper (scientific journal) Publisher：The Institute of Electrical Engineers of Japan

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.

DOI： 10.1541/ieejeiss.138.637

Model-theoretic incremental interpretation based on discourse representation theory Open Access

Kato Y., Matsubara S.

Proceedings of the 32nd Pacific Asia Conference on Language Information and Computation Paclic 2018 page： 254 - 262 2018

Language：English Publishing type：Research paper (scientific journal) Publisher：Proceedings of the 32nd Pacific Asia Conference on Language Information and Computation Paclic 2018

This paper proposes a model-theoretic approach to incremental interpretation where allsentence prefixes have semantic values. Theproposed semantics is based on DiscourseRepresentation Theory (DRT), where semantic representations (called DRSs) are interpreted as assignment updates. In our semantics, a partial DRS of a sentence prefix is interpreted as two sets which stipulate the assignment updates. One denotes possible updatesand the other denotes necessary updates. Withthe proposed semantics, we can assign truthvalues to sentence prefixes.

Corpus-based Analysis of Factors Leading to Missing Translation in Simultaneous Interpretation Open Access

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

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

Effect of Translating on Working Memory Load in Simultaneous Interpreting International journal Open Access

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

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

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

Correcting Syntactic Annotation Errors Based on Tree Mining Reviewed Open Access

Kanta Suzuki, Yoshihide Kato, Shigeki Matsubara

IEICE Transactions on Information and Systems Vol. E100-D ( 5 ) page： 1106-1113 2017.5

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

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

Left-Corner Parsing for Identifying PTB-Style Nonlocal Dependencies

Matsubara Shigeki, Kato Yoshihide

Journal of Natural Language Processing Vol. 24 ( 3 ) page： 371 - 394 2017

Language：English Publishing type：Research paper (scientific journal) Publisher：The Association for Natural Language Processing

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.

DOI： 10.5715/jnlp.24.371

Incremental Semantic Construction Based on Combinatory Categorial Grammar Reviewed Open Access

Yoshihide Kato, Shigeki Matsubara

IEICE Transactions on Information and Systems Vol. E99-D ( 9 ) page： 2368-2376 2016.9

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

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

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

日本語は語順が比較的自由であるといわれているが，語順に関する選好がないわけではない．そのため，文法的には間違っていないものの読みにくい語順をもった文が作成されることがある．本論文では，読みにくい語順の日本語文に対して，読みやすい語順となるように文節を並べ替える手法を提案する．本手法は，係り受け構造が付与されていない文を入力とし，係り受け解析と語順整序を同時に行う．係り受けと語順の適切さを同時に考慮することにより，読みやすい語順に精度よく整えることができる．評価実験では，文法的には間違っていないものの読みにくい語順をもつ文を新聞記事から擬似的に552文作成し，それらに対して語順整序を実行した．元の新聞記事文の語順を正解としたときの，語順整序結果との一致を測定した結果，本手法による語順整序結果は，比較のために設定した二つのベースラインと比べ高い正解率（83.82%）を達成しており，本手法の有効性を確認した．

DOI： 10.14923/transinfj.2015jdp7038

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

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

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

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

Identifying Nonlocal Dependencies in Incremental Parsing Reviewed Open Access

Yoshihide Kato, Shigeki Matsubara

IEICE Transations on Information and Systems Vol. E98-D ( 4 ) page： 994-998 2015.4

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

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

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

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

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 Open Access

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

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

同時通訳システムの現状と課題 Invited Open Access

松原茂樹

通訳翻訳研究 ( 12 ) page： 21-30 2012.12

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

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

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

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

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

Detection of Favorite Phrases from Conversational Speech Reviewed

Tomohiro Ohno, Shigeki Matsubara

page： 163-167 2012.2

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

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

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 Open Access

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

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

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

Advice Extraction fromWeb for Providing Prior Information Concerning Outdoor Activities Reviewed

Shunsuke Kozawa, Masayuki Okamoto, Shinichi Nagano, Kenta Cho, Shigeki Matsubara

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

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

Correcting Syntactic Annotation Errors Using a Synchronous Tree Substitution Grammar Reviewed Open Access

Yoshihide Kato, Shigeki Matsubara

IEICE Transactions on Information and Systems Vol. E93-D ( 9 ) page： 2660-2663 2010.9

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

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

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

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

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

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

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

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

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

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

同時通訳者の話速に影響を及ぼす要因の定量的分析 Reviewed Open Access

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

*Incremental Parsing with Adjoining Operation Reviewed Open Access

Yoshihide Kato, Shigeki Matsubara

IEICE Transactions on Information and Systems Vol. E92-D ( 12 ) page： 2306-2312 2009.12

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

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

*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 Open Access

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

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

Linefeed Insertion into Japanese Spoken Monologue for Captioning Reviewed

Tomohiro Ohno, Masaki Murata,Shigeki Matsubara

Automatic Linefeed Insertion for Improving Readability of Lecture Transcript Reviewed Open Access

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

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

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

*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 Open Access

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

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

*依存構造に基づく用例文検索手法とその評価 Reviewed Open Access

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

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

節の始境界検出に基づく独話文の係り受け解析 Reviewed Open Access

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

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

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

*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

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

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

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

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

消費者の意見に基づく商品検索 Reviewed Open Access

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

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 Open Access

松原茂樹、加藤芳秀、江川誠二

情報管理 Vol. 51 ( 4 ) page： 251-259 2008.7

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 Open Access

松原茂樹

情報処理 Vol. 51 ( 6 ) page： 617-623 2008.6

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

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

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

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

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

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 Open Access

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

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 Open Access

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

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

PARSEVAL measures に基づく漸進的構文解析の定量的評価 Reviewed Open Access

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

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

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

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

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

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.

節境界に基づく独話の漸進的係り受け解析, Reviewed Open Access

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

依存構造に基づくコーパス検索 Open Access

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

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

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．