ジャーナル論文 / Journal
  1. Ishizuki, Y., Kuribayashi, T., Matsubayashi, Y., Sasano, R., and Inui, K., "To Drop or Not to Drop? Predicting Argument Ellipsis Judgments: A Case Study in Japanese", In Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024), (2024).
  2. 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).
  3. INUI, K., ISHII, Y., MATSUBAYASHI, Y., INOUE, N., NAITO, S., ISOBE, Y., FUNAYAMA, H., and KIKUCHI, S., "自然言語処理×教育における説明能力 ―説明できるライティング評価技術への新しい展開―", IEICE ESS Fundamentals Review 16(4), 289–300, (2023).
  4. 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).
  5. 渡邊晃一朗, 影浦峡, 関根聡, "A Descriptive Analysis of Cite Units from the Perspectives of Content and Linguistic Expressions", Library and Information Science Research E-Journal 31(2), 104–118, (2021).
国際会議 / Proceedings
  1. Ando, K., Sekine, S., and Komachi, M., "WikiSQE: A Large-Scale Dataset for Sentence Quality Estimation in Wikipedia", The 38th Annual AAAI Conference on Artificial Intelligence, (2024).
  2. 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).
  3. 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).
  4. Mirzaei, M., Meshgi, K., and Sekine, S., "Is this Question Real? Dataset Collection on Perceived Intentions and Implicit Attack Detection", The ACM Web Conference 2022, 2850–2859, (2022).
  5. Mirzaei, M. S., and Meshgi, K., "Self-regulated listening experience with smart captioning", EUROCALL Conference 2022, (2022).
  6. Meshgi, K., Mirzaei, M., and Sekine, S., "Uncertainty Regularized Multi-Task Learning", ACL Conference 2022, (2022).
  7. Meshgi, K., Mirzaei, M., and Sekine, S., "Q-Learning Scheduler for Multi Task Learning Through the use of Histogram of Task Uncertainty", ACL Conference 2022, (2022).
  8. Kawano, S., Arioka, M., Yuguchi, A., Yamamoto, K., Inoue, K., Kawahara, T., Nakamura, S., and Yoshino, K., "Multimodal Persuasive Dialogue Corpus using Teleoperated Android", In Proceedings of INTERSPEECH2022, 2308–2312, (2022).
  9. 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).
  10. Sekine, S., Nakayama, K., Matsuda, K., Sumida, A., Ando, M., Usami, Y., and Nomoto, M., "SHINRA2020-ML: Categorizing 30-language Wikipedia into fine-grained NE based on “Resource by Collaborative Contribution” scheme", Proceedings of the 3rd Conference on Automated Knowledge Base Construction, (2021).
  11. Nomoto, M., Egami, S., Ohmukai, I., Yamamoto, Y., Sakane, S., Ito, M., Ami, J., Okumura, T., and Kanzaki, M., "行動と空間の状態に着目したCOVID-19感染リスクオントロジーの提案", Proceedings of the Annual Conference of JSAI, 2021, Volume JSAI2021, 35th, (2021).
  12. Nakayama, K., Kurita, S., Kobayashi, A., Baba, Y., and Sekine, S., "Co-Teaching Student-Model through Submission Results of Shared Task", Findings of the Association for Computational Linguistics: EMNLP 2021, (2021).
  13. Mirzaei, M., and Meshgi, K., "Facilitating L2 listening through automatic detection of speech and lexical difficulties", EUROCALL Conference 2021, 214–219, (2021).
  14. Mirzaei, M., and Meshgi, K., "Adaptive Listening Difficulty Detection for L2 Learners Through Moderating ASR Resources", Interspeech Conference 2021, 3929–3933, (2021).
  15. Mirzaei, M., Meshgi, K., and Nishida, T., "Promoting common ground building in L2 cross-cultural conversations", EUROCALL Conference 2021, 220–225, (2021).
  16. Kurita, S., and Kyunghyun, C., "Generative Language-Grounded Policy in Vision-and-Language Navigation with Bayes’ Rule", Ninth International Conference on Learning Representations (ICLR2021), (2021).
  17. Kobayashi, H., Taguchi, H., Tabuchi, Y., Koleejan, C., Kobayashi, K., Fujita, S., Murao, K., Masuyama, T., Yatsuka, T., Okumura, M., and Sekine, S., "A Case Study of In-House Competition for Ranking Constructive Comments in a News Service", Proceedings of the Ninth International Workshop on Natural Language Processing for Social Media, 24–35, (2021).