ジャーナル論文 / Journal
- 芝原隆善, 山田育矢, 西田典起, 寺西裕紀, 古崎晃司, 松本裕治, "シソーラスの階層的構造を利用した弱教師あり固有表現抽出", 自然言語処理 31(3), 984–1014, (2024).
- Tran, H. V., Ouchi, H., Shindo, H., Matsumoto, Y., and Watanabe, T., "Enhancing Semantic Correlation between Instances and Relations for Zero-Shot Relation Extraction", J. Nat. Lang. Process. 30(2), 394–329, (2023).
- Tanaka, S., Yoshino, K., Sudoh, K., and Nakamura, S., "Reflective action selection based on positive-unlabeled learning and causality detection model", Comput. Speech Lang. 78, 101463, (2023).
- Choi, J., Honda, U., Watanabe, T., and Inui, K., "Explainable Natural Language Inference in the Legal Domain via Text Generation", Transactions of the Japanese Society for Artificial Intelligence 38(3), c-mb6_1-11, (2023).
- 本多右京, 橋本敦史, 渡辺太郎, 松本裕治, "擬似教師ありキャプション生成における部分的不一致の除去", 人工知能学会論文誌(Transactions of the Japanese Society for Artificial Intelligence) 37(2), (2022).
- 佐藤志貴, 赤間怜奈, 大内啓樹, 鈴木潤, 乾健太郎, "負例を厳選した対話応答選択による対話応答生成システムの評価", 自然言語処理 29(1), 53–83, (2022).
- Yamamoto, Y., Matsumoto, Y., and Watanabe, T., "Dependency Patterns of Complex Sentences and Semantic Disambiguation for Abstract Meaning Representation Parsing", J. Nat. Lang. Process. 29(2), 515–541, (2022).
- Wang, Y., Shindo, H., Matsumoto, Y., and Watanabe, T., "Nested Named Entity Recognition via Explicitly Excluding the Influence of the Best Path", J. Nat. Lang. Process. 29(1), 23–52, (2022).
- Nishida, N., and Matsumoto, Y., "Out-of-Domain Discourse Dependency Parsing via Bootstrapping: An Empirical Analysis on Its Effectiveness and Limitation", Transactions of the Association for Computational Linguistics 10, 127–144, (2022).
- Ando, K., Okumura, T., Komachi, M., Horiguchi, H., and Matsumoto, Y., "Is artificial intelligence capable of generating hospital discharge summaries from inpatient records?", PLOS Digital Health 1(12), (2022).
- Ando, K., Okumura, T., Komachi, M., Horiguchi, H., and Matsumoto, Y., "Exploring Optimal Granularity for Extractive Summarization of Unstructured Health Records: Analysis of the Largest Multi-Institutional Archive of Health Records in Japan", PLOS Digital Health 1(9), (2022).
- 澤田悠冶, 寺西裕紀, 松本裕治, 渡辺太郎, "複合化された固有表現認識のための教師なし並列構造解析", 自然言語処理 28(4), 1089–1115, (2021).
- Tran, V., Phi, V., Kato, A., Shindo, H., Watanabe, T., and Matsumoto, Y., "Improved Decomposition Strategy for Joint Entity and Relation Extraction", J. Nat. Lang. Process. 28(4), 965–994, (2021).
- Oka, H., Yoshizawa, A., Shindo, H., Matsumoto, Y., and Ishii, M., "Machine extraction of polymer data from tables using XML versions of scientific articles", Science and Technology of Advanced Materials: Methods 1(1), 12–23, (2021).
- Momoki, Y., Ichinose, A., Shigeto, Y., Honda, U., Nakamura, K., and Matsumoto, Y., "Characterization of Pulmonary Nodules in Computed Tomography Images Based on Pseudo-Labeling using Radiology Reports", IEEE Trans. Circuits Syst. Video Technol., (2021).
国際会議 / Proceedings
- Raithel, L., Yeh, H., Yada, S., Grouin, C., Lavergne, T., Neveol, A., Paroubek, P., Thomas, P., Nishiyama, T., Moller, S., Aramaki, E., Matsumoto, Y., Rooler, R., and Zweigenbaum, P., "A Dataset for Pharmacovigilance in German, French, and Japanese: Annotating Adverse Drug Reactions across Languages", Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024) 1(1), 395–414, (2024).
- Phi, T. V., Teranishi, H., Matsumoto, Y., Oka, H., and Ishii, M., "PolyNERE: A Novel Ontology and Corpus for Named Entity Recognition and Relation Extraction in Polymer Science Domain", Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024) 1(1), 12856–12866, (2024).
- Mukobara, Y., Shigeto, Y., and Shimbo, M., "Rethinking Loss Functions for Fact Verification", Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics 2(1), 432–442, (2024).
- Khettari, O., Nishida, N., Liu, S., Munne, R., Yamagata, Y., Quiniou, S., Samuel, C., and Matsumoto, Y., "Mention-Agnostic Information Extraction for Ontological Annotation of Biomedical Articles", Proceedings of the 23rd Workshop on Biomedical Natural Language Processing 23(1), 457–473, (2024).
- Chen, Y., Nishida, N., Nakayama, H., and Matsumoto, Y., "Recent Trends in Personalized Dialogue Generation: A Review of Datasets, Methodologies, and Evaluations", Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024) 1(1), 13650–13665, (2024).
- 重藤優太郎, 西田典起, LIU, S., 松本裕治, 森田敏生, 中村伊知哉, 石戸奈々子, "校歌のための歌詞作成支援システムの開発", 言語処理学会第29回年次大会発表論文集 1(1), 3065–3070, (2023).
- 芝原隆善, 山田育矢, 西田典起, 寺西裕紀, 大内啓樹, 古崎晃司, 渡辺太郎, 松本裕治, "エンティティの階層的分類体系を用いた遠距離教師あり固有表現抽出", 言語処理学会第29回年次大会発表論文集 1(1), 1514–1519, (2023).
- 新美翔太朗, 後藤啓介, 西田典起, 松本裕治, 廣島雅人, "オンライン会議の雰囲気予測における困難な事例のサンプリングによる精度向上", 言語処理学会第29回年次大会発表論文集 1(1), 1175–1179, (2023).
- Wang, Y., Watanabe, T., Utiyama, M., and Matsumoto, Y., "24-bit Languages", Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics 1(1), 408–419, (2023).
- Wada, T., Matsumoto, Y., Baldwin, T., and Lau, H., "Unsupervised Paraphrasing of Multiword Expressions", Findings of the Association for Computational Linguistics: ACL 2023 61(1), 4732–4746, (2023).
- Liu, S., and Matsumoto, Y., "Entity Position Matters - Towards Improving a Generative End-to-End Relation Extraction Model", Proceedings of the 29th Annual Conference of the Association for Natural Language Processing 1(1), 545–549, (2023).
- Liu, S., Ishigaki, T., Uehara, Y., Takamura, H., and Matsumoto, y., "Generate it. A Trivial Method for End-to-End Relation Extraction", Proceedings of the 29th Annual Conference of the Association for Natural Language Processing 1(1), 3087–3092, (2023).
- Honda, U., Watanabe, T., and Matsumoto, Y., "Switching to Discriminative Image Captioning by Relieving a Bottleneck of Reinforcement Learning", Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision 1, 1124–1134, (2023).
- Do, T., Nguyen, C., Tran, V., Satoh, K., Matsumoto, Y., and Nguyen, M., "CovRelex-SE: Adding Semantic Information for Relation Search via Sequence Embedding", Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics 1(1), 35–42, (2023).
- 芝原隆善, 大内啓樹, 山田育矢, 西田典起, 寺西裕紀, 古崎晃司, 渡辺太郎, 松本裕治, "ユーザの興味があるカテゴリに応じたNER システム構築フレームワーク", 言語処理学会第28回年次大会(NLP2022), (2022).
- 本多右京, 渡辺太郎, 松本裕治, "強化学習における画像キャプションの低識別性問題とLong-Tail 分類手法を用いた対処", 言語処理学会第28回年次大会(NLP2022), (2022).
- Yamada, I., Washio, K., Shindo, H., and Matsumoto, Y., "Global Entity Disambiguation with BERT", Proceedings of the 2022 Annual Conference of the North American Chapter of the Association for Computational Linguistics 2, 3264–3271, (2022).
- Wada, T., Baldwin, T., Matsumoto, Y., and Lau, J., "Unsupervised Lexical Substitution with Decontextualised Embeddings", Proceedings of the 29th International Conference on Computational Linguistics 1, 4172–4185, (2022).
- Tran, V., Ouchi, H., Watanabe, T., and Matsumoto, Y., "Improving Discriminative Learning for Zero-Shot Relation Extraction", Proceedings of the 1st Workshop on Semiparametric Methods in NLP 1, 1–6, (2022).
- Teranishi, H., and Matsumoto, Y., "Coordination Generation via Synchronized Text-Infilling.", Coling 1(1), 5914–5924, (2022).
- Takeuchi, J., Nishida, N., and Nakayama, H., "Neural Networks in a Product of Hyperbolic Spaces.", Naacl-hlt 1(1), 211–221, (2022).
- Sato, S., Akama, R., Ouchi, H., Tokuhisa, R., Suzuki, J., and Inui, K., "N-best Response-based Analysis of Contradiction-awareness in Neural Response Generation Models", In Proceedings of the 23rd Annual Meeting of the Special Interest Group on Discourse and Dialogue (SIGDIAL 2022), 637–644, (2022).
- Ri, R., Yamada, I., and Tsuruoka, Y., "mLUKE: The Power of Entity Representations in Multilingual Pretrained Language Models", Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics 1, (2022).
- Dao, A. T., Aizawa, A., and Matsumoto, Y., "Named Entity Recognition on COVID-19 Scientific Papers", NLPIR 2022 InternatioNnal Conference Proceedings Series, (2022).
- Ando, K., Komachi, M., Okumura, T., Horiguchi, H., and Matsumoto, Y., "Is In-hospital Meta-information Useful for Abstractive Discharge Summary Generation?", Proceedings of The 27th International Conference on Technologies and Applications of Artificial Intelligence 1, (2022).
- Yamada, I., Asai, A., and Hajishirzi, H., "Efficient Passage Retrieval with Hashing for Open-domain Question Answering", Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processin 2, 979–986, (2021).
- Wang, Y., Shindo, H., Matsumoto, Y., and Watanabe, T., "Structured Refinement for Sequential Labeling", Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021, 1873–1884, (2021).
- Wang, Y., Shindo, H., Matsumoto, Y., and Watanabe, T., "Nested Named Entity Recognition via Explicitly Excluding the Influence of the Best Path", Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language 1, 3547–3557, (2021).
- Kamigaito, H., and Katsuhiko, H., "Unified Interpretation of Softmax Cross-Entropy and Negative Sampling: With Case Study for Knowledge Graph Embedding", Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processin 1, 5517–5531, (2021).
- Honda, U., Ushiku, Y., Hashimoto, A., Watanabe, T., and Matsumoto, Y., "Removing Word-Level Spurious Alignment between Images and Pseudo-Captions in Unsupervised Image Captioning", European Chapter of the Association for Computational Linguistics (EACL), 3692–3702, (2021).
その他 / Other
- Wang, Y., Watanabe, T., Utiyama, M., and Matsumoto, Y., "Interpreting Languages with Bits", J. Nat. Lang. Process. 31(1), 280–286, (2024).