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International Conferences / International Conference Papers

  1. Yunmeng Li, Jun Suzuki, Makoto Morishita, Kaori Abe, and Kentaro Inui. 2023. An Investigation of Warning Erroneous Chat Translations in Cross-lingual Communication. In 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: Student Research Workshop (IJCNLP-AACL 2023 SRW), pp. 10–16, November 2023.
  2. Yukiko Ishizuki, Tatsuki Kuribayashi, Yuichiroh Matsubayashi, Ryohei Sasano, Kentaro Inui. 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), pp.-, May 2024.
  3. Goro Kobayashi, Tatsuki Kuribayashi, Sho Yokoi, Kentaro Inui. Analyzing Feed-Forward Blocks in Transformers through the Lens of Attention Maps. In Proceedings for the 12th International Conference on Learning Representations (ICLR 2024), Spotlight Presentation, May 2024.
  4. Yukiko Ishizuki*, Daiki Shiono*, Ana Brassard, Jun Suzuki (*: equal contribution). Non-archival submission for the 18th Conference of the European Chapter of the Association for Computational Linguistics Student Research Workshop (EACL-SRW 2024), March 2024.
  5. Naoki Miura, Hiroaki Funayama, Seiya Kikuchi, Yuichiroh Matsubayashi, Yuya Iwase, Kentaro Inui. Japanese-English Sentence Translation Exercises Dataset for Automatic Grading. In Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics Student Research Workshop (EACL-SRW 2024), pp.266–278, March 2024.
  6. Masahiro Makino, Yuya Asazuma, Shota Sasaki, Jun Suzuki. The 18th Conference of the European Chapter of the Association for Computational Linguistics Student Research Workshop (EACL-SRW 2024), pp.–, March 2024.
  7. Takumi Ito, Qixiang Fang, Pablo Mosteiro, Albert Gatt, Kees van Deemter. Challenges in Reproducing Human Evaluation Results for Role-Oriented Dialogue Summarization. In Proceedings of the 3rd Workshop on Human Evaluation of NLP Systems, pp. 97–123, September 2023.
  8. Takumi Ito, Naomi Yamashita, Tatsuki Kuribayashi, Masatoshi Hidaka, Jun Suzuki, Ge Gao, Jack Jamieson, Kentaro Inui. Use of an AI-powered Rewriting Support Software in Context with Other Tools: A Study of Non-Native English Speakers. In Proceedings of the 36th Annual ACM Symposium on User Interface Software and Technology (UIST2023), No. 45, pp. 1–13, October 2023.
  9. Jungo Kasai, Keisuke Sakaguchi, Yoichi Takahashi, Ronan Le Bras, Akari Asai, Xinyan Velocity Yu, Dragomir Radev, Noah A. Smith, Yejin Choi, and Kentaro Inui. RealTime QA: What’s the Answer Right Now? Thirty-seventh Conference on Neural Information Processing Systems Datasets and Benchmarks Track, December 2023
  10. Ikumi Ito, Takumi Ito, Jun Suzuki and Kentaro Inui. Investigating the Effectiveness of Multiple Expert Models Collaboration. In Findings of the 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP2023 Findings), pp.14393–14404, December 2023.
  11. Go Kamoda, Benjamin Heinzerling, Keisuke Sakaguchi, and Kentaro Inui. 2023. Test-time Augmentation for Factual Probing. In Findings of the Association for Computational Linguistics: EMNLP 2023, pages 3650–3661, Singapore. Association for Computational Linguistics.
  12. Hiroto Kurita, Goro Kobayashi, Sho Yokoi and Kentaro Inui. Contrastive Learning-based Sentence Encoders Implicitly Weight Informative Words. In Findings of the 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP2023 Findings), December 2023.
  13. Mengyu Ye, Tatsuki Kuribayashi, Jun Suzuki, Goro Kobayashi, and Hiroaki Funayama. Assessing Step-by-Step Reasoning against Lexical Negation: A Case Study on Syllogism. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP 2023), pages 14753-14773, December 2023.
  14. Camelia Guerraoui, Paul Reisert, Naoya Inoue, Farjana Sultana Mim, Keshav Singh, Jungmin Choi, Irfan Robbani, Shoichi Naito, Wenzhi Wang and Kentaro Inui. Teach Me How to Argue: A Survey on NLP Feedback Systems in Argumentation. In Proceedings of the 10th Workshop on Argument Mining (ArgMining 2023), pages 19–34, December 2023.
  15. Tanaka, Y., Arai, H., Inuzuka, M., Takahashi, Y., Kukita, M., & Inui, K. Fight Bias with Bias? Two Interventions for Mitigating the Selective Avoidance of Clicking Uncongenial Facts. Proceedings of the Annual Meeting of the Cognitive Science Society, 45. p.2304-2310, July 2023
  16. Anya Belz, Craig Thomson, Ehud Reiter, Gavin Abercrombie, Jose M. Alonso-Moral, Mohammad Arvan, Anouck Braggaar, Mark Cieliebak, Elizabeth Clark, Kees van Deemter, Tanvi Dinkar, Ondřej Dušek, Steffen Eger, Qixiang Fang, Mingqi Gao, Albert Gatt, Dimitra Gkatzia, Javier González-Corbelle, Dirk Hovy, Manuela Hürlimann, Takumi Ito, John D. Kelleher, Filip Klubicka, Emiel Krahmer, Huiyuan Lai, Chris van der Lee, Yiru Li, Saad Mahamood, Margot Mieskes, Emiel van Miltenburg, Pablo Mosteiro, Malvina Nissim, Natalie Parde, Ondřej Plátek, Verena Rieser, Jie Ruan, Joel Tetreault, Antonio Toral, Xiaojun Wan, Leo Wanner, Lewis Watson, Diyi Yang. Missing Information, Unresponsive Authors, Experimental Flaws: The Impossibility of Assessing the Reproducibility of Previous Human Evaluations in NLP. The Fourth Workshop on Insights from Negative Results in NL, pp. 1-10, May 2023.
  17. Haruki Nagasawa, Benjamin Heinzerling, Kazuma Kokuta and Kentaro Inui. Can LMs Store and Retrieve 1-to-N Relational Knowledge? Archival submission for the ACL Student Research Workshop (ACL-SRW 2023), pp. 130-138, July 2023.
  18. Mengyu Ye, Tatsuki Kuribayashi, Jun Suzuki, Hiroaki Funayama and Goro Kobayashi. Assessing Chain-of-Thought Reasoning against Lexical Negation: A Case Study on Syllogism. Non-archival submission for the ACL Student Research Workshop (ACL-SRW 2023), July 2023.
  19. Masaki Sakata, Sho Yokoi, Benjamin Heinzerling and Kentaro Inui. Geometric Locality of Entity Embeddings in Masked Language Models. Non-archival submission for the ACL Student Research Workshop (ACL-SRW 2023), July 2023.
  20. Hiroaki Funayama , Yuya Asazuma, Yuichiroh Matsubayashi, Tomoya Mizumoto, Jun Suzuki and Kentaro Inui. Reducing the Cost: Cross-Prompt Pre-Finetuning for Short Answer Scoring. The 24th International Conference on Artificial Intelligence in Education (AIED2023), To be appear, July 2023.
  21. Goro Kobayashi, Tatsuki Kuribayashi, Sho Yokoi and Kentaro Inui. Transformer Language Models Handle Word Frequency in Prediction Head. In Findings of the 61st Annual Meeting of the Association for Computational Linguistics (ACL2023 Findings), pp.4523-4535, July 2023.
  22. Sho Takase, Shun Kiyono, Sosuke Kobayashi, Jun Suzuki. B2T Connection: Serving Stability and Performance in Deep Transformers. In Findings of the 61st Annual Meeting of the Association for Computational Linguistics (ACL2023 Findings), pp. 3078–3095, July 2023.
  23. Hiroto Kurita*, Ikumi Ito*, Hiroaki Funayama, Shota Sasaki, Shoji Moriya, Ye Mengyu, Kazuma Kokuta, Ryujin Hatakeyama, Shusaku Sone and Kentaro Inui (*equal contributions). TohokuNLP at SemEval-2023 Task 5: Clickbait Spoiling via Simple Seq2seq Generation and Ensembling. In Proceedings of the 17th International Workshop on Semantic Evaluation (SemEval), pp. 1756–1762, July 2023.
  24. Steven Coyne. Template-guided Grammatical Error Feedback Comment Generation. In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics: Student Research Workshop (EACL 2023 SRW), pp. 94-104, May 2023.
  25. Keito Kudo, Yoichi Aoki, Tatsuki Kuribayashi, Ana Brassard, Masashi Yoshikawa, Keisuke Sakaguchi and Kentaro Inui. Do Deep Neural Networks Capture Compositionality in Arithmetic Reasoning? In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics (EACL2023), pp.1343-1354, May 2023.
  26. Yoichi Aoki, Keito Kudo, Tatsuki Kuribayashi, Ana Brassard, Masashi Yoshikawa, Keisuke Sakaguchi and Kentaro Inui. Empirical Investigation of Neural Symbolic Reasoning Strategies. In Findings of the 17th Conference of the European Chapter of the Association for Computational Linguistics (EACL2023 Findings), pp.1124-1132, May 2023.
  27. Pride Kavumba, Ana Brassard, Benjamin Heinzerling and Kentaro Inui. Prompting for explanations improves Adversarial NLI. Is this true? {Yes} it is {true} because {it weakens superficial cues}. To appear In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics (EACL2023), pp. – , May 2023.
  28. Yuko Tanaka, Miwa Inuzuka, Hiromi Arai, Yoichi Takahashi, Minao Kukita and Kentaro Inui. Who Does Not Benefit from Fact-Checking Websites? A Psychological Characteristic Predicts the Selective Avoidance of Clicking Uncongenial Facts. In Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems (CHI 2023), pp.1–17, April 2023.
  29. Yuta Matsumoto, Benjamin Heinzerling, Masashi Yoshikawa and Kentaro Inui. Tracing and Manipulating Intermediate Values in Neural Math Problem Solvers. In The 1st Workshop on Mathematical Natural Language Processing (MathNLP 2022), pp. 1–6, Dec 2022
  30. Yuta Matsumoto, Benjamin Heinzerling, Masashi Yoshikawa and Kentaro Inui. Tracing and Manipulating Intermediate Results in Neural Math Problem Solvers. In Proceedings of the Fifth BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP, Dec 2022.
  31. Makoto Morishita*, Keito Kudo*, Yui Oka*, Katsuki Chousa*, Shun Kiyono, Sho Takase, Jun Suzuki (*equal contributions). NT5 at WMT 2022 General Translation Task. In Proceedings of Seventh Conference on Machine Translation (WMT-2022), Dec 2022.
  32. Qin Dai*, Benjamin Heinzerling*, Kentaro Inui (*equal contributions). Cross-stitching Text and Knowledge Graph Encoders for Distantly Supervised Relation Extraction. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP 2022), pp.6947–6958, Dec 2022.
  33. Tatsuki Kuribayashi, Yohei Oseki, Ana Brassard, Kentaro Inui. Context Limitations Make Neural Language Models More Human-Like. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP 2022), pp.10421–10436, Dec 2022.
  34. Jungo Kasai, Keisuke Sakaguchi, Ronan Le Bras, Hao Peng, Ximing Lu, Dragomir Radev, Yejin Choi, Noah A. Smith. Twist Decoding: Diverse Generators Guide Each Other. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP 2022), pp.4909–4923, Dec 2022.
  35. Yunmeng Li, Jun Suzuki, Makoto Morishita, Kaori Abe, Ryoko Tokuhisa, Ana Brassard, Kentaro Inui. Chat Translation Error Detection for Assisting Cross-lingual Communications. In Proceedings of the 3rd Workshop on Evaluation & Comparison of NLP Systems (Eval4NLP 2022), pp.88–95, Nov 2022.
  36. Yoichi Aoki, Keito Kudo, Tatsuki Kuribayashi, Ana Brassard, Masashi Yoshikawa, Keisuke Sakaguchi and Kentaro Inui. Empirical Investigation of Neural Symbolic Reasoning Strategies. Non-archival submission for the 2022 AACL-IJCNLP Student Research Workshop (AACL-IJCNLP SRW 2022, Non-archival), Nov 2022.
  37. Yuta Matsumoto, Benjamin Heinzerling, Masashi Yoshikawa and Kentaro Inui. Tracing and Manipulating Intermediate Results in Neural Math Problem Solvers. In Proceedings of the 2022 Conference on AACL-IJCNLP Student Research Workshop (AACL-IJCNLP SRW 2022) , Nov 2022.
  38. Shiki Sato, Yosuke Kishinami, Hiroaki Sugiyama, Reina Akama, Ryoko Tokuhisa and Jun Suzuki. Bipartite-play Dialogue Collection for Versatile and Practical Automatic Dialogues Evaluation. In Proceedings of the 2022 Conference on AACL-IJCNLP Student Research Workshop (AACL-IJCNLP SRW 2022) , pp.8-16, Nov 2022.
  39. Kaori Abe, Yokoi Sho, Tomoyuki Kajiwara, Kentaro Inui. Why is sentence similarity benchmark not predictive of application-oriented task performance? In Proceedings of the 3rd Workshop on Evaluation & Comparison of NLP Systems (Eval4NLP 2022), pp.70-87, Nov 2022.
  40. Yosuke Kishinami, Reina Akama, Shiki Sato, Ryoko Tokuhisa, Jun Suzuki and Kentaro Inui. Target-Guided Open-Domain Conversation Planning. In Proceedings of the 29th International Conference on Computational Linguistics (COLING 2022), pp.660–668, Oct 2022.
  41. Riki Fujihara, Tatsuki Kuribayashi, Kaori Abe, Ryoko Tokuhisa, Kentaro Inui. Topicalization in Language Models A Case Study on Japanese. In Proceedings of the 29th International Conference on Computational Linguistics (COLING 2022), pp.851–862, Oct 2022.
  42. Shuhei Kurita, Hiroki Ouchi, Kentaro Inui and Satoshi Sekine, Iterative Span Selection: Self-Emergence of Resolving Orders in Semantic Role Labeling. In Proceedings of the 29th International Conference onComputational Linguistics (COLING 2022), pp.5383–5397, Oct 2022.
  43. Jungmin Choi, Ukyo Honda, Taro Watanabe, Kentaro Inui, Hiroki Ouchi, Law Retrieval with Supervised Contrastive Learning Using the Hierarchical Structure of Law, In Proceeding of the 36th Pacific Asia Conference on Language, Information and Computation (PACLIC 2022). Oct 2022.
  44. Atsushi Shirafuji, Takumi Ito, Makoto Morishita, Yuki Nakamura, Yusuke Oda, Jun Suzuki, Yutaka Watanobe. Prompt Sensitivity of Language Model for Solving Programming Problems. The 21st International Conference on Intelligent Software Methodologies, Tools, and Techniques (SOMET), pp.346-359, Sep 2022.
  45. Shiki Sato, Reina Akama, Hiroki Ouchi, Ryoko Tokuhisa, Jun Suzuki and Kentaro Inui. 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), pp.637-644, Sep 2022.
  46. Hiroaki Funayama, Tasuku Sato, Yuichiroh Matsubayashi, Tomoya Mizumoto, Jun Suzuki and Kentaro Inui. Balancing Cost and Quality: An Exploration of Human-in-the-loop Frameworks for Automated Short Answer Scoring. In Proceedings of the 23rd International Conference on Artificial Intelligence in Education (AIED2022), pp.465-476,July 2022.
  47. Tasuku Sato, Hiroaki Funayama, Kazuaki Hanawa and Kentaro Inui. Generating Feature Attribution-based Explanations for Automated Short Answer Scoring. In Proceedings of the 23rd International Conference on Artificial Intelligence in Education (AIED2022), pp.231-242,July 2022.
  48. Pride Kavumba, Ryo Takahashi, Yasuke Oda. Are Prompt-base Models Clueless? Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics, pp.2333–2352,May 2022.
  49. Shumpei Miyawaki, Taku Hasegawa, Kyosuke Nishida, Takuma Kato and Jun Suzuki. Scene-Text Aware Image and Text Retrieval with Dual-Encoder. Non-archival submission for the 2022 ACL Student Research Workshop (2022 ACL SRW), May 2022.
  50. Sosuke Kobayashi, Shun Kiyono, Jun Suzuki, Kentaro Inui. Diverse Lottery Tickets Boost Ensemble from a Single Pretrained Model. In Proceedings of the Workshop of Challenges & Perspectives in Creating Large Language Models (BigScience), pp.42–50, May 2022.
  51. Shoichi Naito, Shintaro Sawada, Chihiro Nakagawa, Naoya Inoue, Kenshi Yamaguchi, Iori Shimizu, Farjana Sultana Mim, Keshav Singh and Kentaro Inui. TYPIC: A Corpus of Template-Based Diagnostic Comments on Argumentation. In Proceedings of the 13th International Conference on the Language Resources and Evaluation Conference (LREC 2022), pp.5916–5928, Jun 2022.
  52. Farjana Sultana Mim, Naoya Inoue, Shoichi Naito, Keshav Singh and Kentaro Inui. LPAttack: A Feasible Annotation Scheme for Capturing Logic Pattern of Attacks in Arguments. In Proceedings of the 13th International Conference on the Language Resources and Evaluation Conference (LREC 2022), pp. 2446–2459, June 2022.
  53. Ana Brassard, Benjamin Heinzerling, Pride Kavumba and Kentaro Inui. COPA-SSE: Semi-structured Explanations for Commonsense Reasoning. In Proceedings of the 13th International Conference on the Language Resources and Evaluation Conference (LREC 2022), pp.3994-4000, Jun 2022.
  54. Keshav Singh, Naoya Inoue, Farjana Sultana Mim, Shoichi Naito and Kentaro Inui. IRAC: A Domain-specific Annotated Corpus of Implicit Reasoning in Arguments. In Proceedings of the 13th International Conference on the Language Resources and Evaluation Conference (LREC 2022), pp.4674–4683, Jun 2022.
  55. Makoto Morishita, Katsuki Chousa, Jun Suzuki and Masaaki Nagata. JParaCrawl v3.0: A Large-scale English-Japanese Parallel Corpus. In Proceedings of the 13th International Conference on the Language Resources and Evaluation Conference (LREC 2022), pp.xxx–xxx, Jun 2022.
  56. Daisuke Suzuki, Yujin Takahashi, Ikumi Yamashita, Taichi Aida, Tosho Hirasawa, Michitaka Nakatsuji, Masato Mita and Mamoru Komachi. Construction of a Quality Estimation Dataset for Automatic Evaluation of Japanese Grammatical Error Correction. In Proceedings of the 13th International Conference on the Language Resources and Evaluation Conference (LREC 2022), pp.xxx–xxx, Jun 2022.
  57. Yujin Takahashi, Masahiro Kaneko, Masato Mita and Mamoru Komachi. Proficiency Matters Quality Estimation in Grammatical Error Correction. In Proceedings of the 13th International Conference on the Language Resources and Evaluation Conference (LREC 2022), pp.xxx–xxx, Jun 2022.
  58. Riku Arakawa, Hiromu Yakura, Sosuke Kobayashi. VocabEncounter: NMT-powered vocabulary learning by presenting computer-generated usages of foreign words into users’ daily lives. In Proceedings of the 2022 CHI conference on human factors in computing systems, No.: 6, pp.1-21, April 2022.
  59. Kazuaki Hanawa, Ryo Nagata and Kentaro Inui. Exploring Methods for Generating Feedback Comments for Writing Learning. In Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP 2021), pp.9719–9730, November 2021.
  60. Shun Kiyono, Sosuke Kobayashi, Jun Suzuki, Kentaro Inui. Shifted Absolute Position Embeddings for Transformers. In Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP 2021), pp.3309–3321, November 2021.
  61. Ryuto Konno, Shun Kiyono, Yuichiroh Matsubayashi, Hiroki Ouchi, Kentaro Inui. Pseudo Zero Pronoun Resolution Improves Zero Anaphora Resolution. In Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP 2021), pp.3790–3806, November 2021.
  62. Keshav Singh, Farjana Sultana Mim, Naoya Inoue, Shoichi Naito and Kentaro Inui. Exploring Methodologies for Collecting High-Quality Implicit Reasoning in Arguments. In Proceedings of the 8th Workshop on Argument Mining (EMNLP 2021), pages 57–66, Punta Cana, Dominican Republic, November 2021. Association for Computational Linguistics.
  63. Goro Kobayashi, Tatsuki Kuribayashi, Sho Yokoi and Kentaro Inui. Incorporating Residual and Normalization Layers into Analysis of Masked Language Models. In Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP 2021), pp.4547–4568, November 2021.
  64. Naoya Inoue, Harsh Trivedi, Steven Sinha, Niranjan Balasubramanian and Kentaro Inui. Summarize-then-Answer: Generating Concise Explanations for Multi-hop Reading Comprehension. In Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP 2021), pp.6064–6080, November 2021.
  65. Kosuke Yamada, Yuta Hitomi, Hideaki Tamori, Ryohei Sasano, Naoaki Okazaki, Kentaro Inui and Koichi Takeda. Transformer-based Lexically Constrained Headline Generation. In Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP 2021), pp.4085–4090, November 2021.
  66. Ana Brassard, Benjamin Heinzerling, Pride Kavumba and Kentaro Inui. COPA-SSE: Semi-Structured Explanations for Commonsense Reasoning. Workshop on Commonsense Reasoning and Knowledge Bases, October 2021.
  67. Keshav Singh, Naoya Inoue, Farjana Sultana Mim, Shoichi Naitoh and Kentaro Inui. Annotating implicit reasoning in arguments with causal links. Workshop on Argumentation Knowledge Graphs (ArgKG), October 2021.
  68. Tatsuki Kuribayashi, Yohei Oseki, Takumi Ito, Ryo Yoshida, Masayuki Asahara and Kentaro Inui. Lower Perplexity is Not Always Human-Like. In proceedings of the Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (ACL-IJCNLP 2021), pp. 5203–5217, August 2021.
  69. Masato Mita and Hitomi Yanaka. Do Grammatical Error Correction Models Realize Grammatical Generalization? In Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021, pp. 4554–4561, August 2021.
  70. Hitomi Yanaka, Koji Mineshima, Kentaro Inui. SyGNS: A Systematic Generalization Testbed Based on Natural Language Semantics. In Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021, pp. 103–119, August 2021.
  71. Riki Fujihara, Tatsuki Kuribayashi, Kaori Abe and Kentaro Inui. Topicalization in Language Models: A Case Study on Japanese. Non-archival submission for the 2021 ACL Student Research Workshop (2021 ACL SRW), August 2021.
  72. Pride Kavumba, Benjamin Heinzerling, Ana Brassard and Kentaro Inui. Learning to Learn to be Right for the Right Reasons. In Proceedings of the 2021 Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT), pp.3890–3898, June 2021.
  73. Sho Takase and Shun Kiyono. Rethinking Perturbations in Encoder-Decoders for Fast Training. In Proceedings of the 2021 Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT), pp.5767–5780, June 2021.
  74. Kazuaki Hanawa, Sho Yokoi, Satoshi Hara and Kentaro Inui. Evaluation of Similarity-based Explanations. In Proceedings of the Ninth International Conference on Learning Representations (ICLR 2021), May 2021.
  75. Hitomi Yanaka, Koji Mineshima, Kentaro Inui. Exploring Transitivity in Neural NLI Models through Veridicality. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics (EACL), pp.920–934, April 2021.
  76. Benjamin Heinzerling, Kentaro Inui. Language Models as Knowledge Bases: On Entity Representations, Storage Capacity, and Paraphrased Queries. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics (EACL), pp.1772–1791, April 2021.
  77. Qin Dai, Naoya Inoue, Ryo Takahashi and Kentaro Inui. Two Training Strategies for Improving Relation Extraction over Universal Graph. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics (EACL), pp.3673–3684, April 2021.
  78. Makoto Morishita, Jun Suzuki, Tomoharu Iwata, Masaaki Nagata. Context-aware Neural Machine Translation with Mini-batch Embedding. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics (EACL), pp.2513–2521, April 2021.
  79. Ayato Toyokuni, Sho Yokoi, Hisashi Kashima, Makoto Yamada.
    Computationally Efficient Wasserstein Loss for Structured Labels.
    In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Student Research Workshop, pp.1–7, April 2021.  
  80. Kotaro Kitayama, Shivashankar Subramanian, Timothy Baldwin. Popularity Prediction of Online Petitions using a Multimodal Deep Regression Model. In Proceedings of the 18th Annual Workshop of the Australasian Language Technology Association (ALTA 2020), pp.110-114, January 2021.
  81. Sho Takase, Sosuke Kobayashi. All Word Embeddings from One Embedding. In Proceedings of the NeurIPS 2020, pp.3775-3785, December 2020.
  82. Satoshi Sekine, Masako Nomoto, Kouta Nakayama, Asuka Sumida, Koji Matsuda, Maya Ando. Overview of SHINRA2020-ML Task. In Proceedings of the 15th NTCIR Conference, December 2020.
  83. Shun Kiyono, Takumi Ito, Ryuto Konno, Makoto Morishita and Jun Suzuki. Tohoku-AIP-NTT at WMT 2020 News Translation Task. In Proceedings of the Fifth Conference on Machine Translation (WMT 2020), pp.144–154, November 2020.
  84. Sosuke Kobayashi, Sho Yokoi, Jun Suzuki and Kentaro Inui. Efficient Estimation of Influence of a Training Instance. In Proceedings of EMNLP 2020 Workshop Workshop on Simple and Efficient Natural Language Processing (SustaiNLP), pp.41–47, November 2020.
  85. Sho Yokoi, Ryo Takahashi, Reina Akama, Jun Suzuki and Kentaro Inui. Word Rotator’s Distance. In Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP 2020), pp.2944–2960, November 2020.
    • paper, video, presentation
  86. Reina Akama, Sho Yokoi, Jun Suzuki and Kentaro Inui. Filtering Noisy Dialogue Corpora by Connectivity and Content Relatedness. In Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP 2020), pp.941–958, November 2020.
  87. Goro Kobayashi, Tatsuki Kuribayashi, Sho Yokoi and Kentaro Inui. Attention is Not Only a Weight: Analyzing Transformers with Vector Norms. In Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP 2020), pp.7057–7075, November 2020.
  88. Masato Mita, Shun Kiyono, Masahiro Kaneko, Jun Suzuki and Kentaro Inui. A Self-Refinement Strategy for Noise Reduction in Grammatical Error Correction. In Findings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP 2020), pp.267–280, November 2020.
  89. Takumi Ito, Tatsuki Kuribayashi, Masatoshi Hidaka, Jun Suzuki, Kentaro Inui. Langsmith: An Interactive Academic Text Revision System. In Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing: System Demonstrations (EMNLP 2020), pp.216–226, November 2020.
  90. Takumi Goto, Ryo Nagata, Masato Mita, Kazuaki Hanawa. Taking the Correction Difficulty into Account in Grammatical Error Correction Evaluation. In Proceedings of the 28th International Conference on Computational Linguistics (COLING 2020) pp.2085–2095, December 2020.
  91. Ryo Fujii, Masato Mita, Kaori Abe, Kazuaki Hanawa, Makoto Morishita, Jun Suzuki and Kentaro Inui. PheMT: A Phenomenon-wise Dataset for Machine Translation Robustness on User-Generated Contents. In Proceedings of the 28th International Conference on Computational Linguistics (COLING 2020) pp.5929–5943, December 2020.
  92. Ryuto Konno, Yuichiroh Matsubayashi, Shun Kiyono, Hiroki Ouchi, Ryo Takahashi and Kentaro Inui. An Empirical Study of Contextual Data Augmentation for Japanese Zero Anaphora Resolution. In Proceedings of the 28th International Conference on Computational Linguistics (COLING 2020) pp.4956–4968, December 2020.
  93. Takaki Otake, Sho Yokoi, Naoya Inoue, Ryo Takahashi, Tatsuki Kuribayashi and Kentaro Inui. Modeling Event Salience in Narratives via Barthes’ Cardinal Functions. In Proceedings of the 28th International Conference on Computational Linguistics (COLING 2020) pp.1784-1794, December 2020.
  94. Hiroaki Funayama, Shota Sasaki, Yuichiroh Matsubayashi, Tomoya Mizumoto, Jun Suzuki, Masato Mita and Kentaro Inui. Preventing Critical Scoring Errors in Short Answer Scoring with Confidence Estimation. In Proceedings of the 2020 ACL Student Research Workshop (2020 ACL SRW), pp.237–243, July 2020.
  95. Takuma Kato, Kaori Abe, Hiroki Ouchi, Shumpei Miyawaki, Jun Suzuki and Kentaro Inui. Embeddings of Label Components for Sequence Labeling: A Case Study of Fine-grained Named Entity Recognition. In Proceedings of the 2020 ACL Student Research Workshop (2020 ACL SRW), pp.222–229 , July 2020.
  96. Goro Kobayashi, Tatsuki Kuribayashi, Sho Yokoi and Kentaro Inui. Self-Attention is Not Only a Weight: Analyzing BERT with Vector Norms. Non-archival submission for the 2020 ACL Student Research Workshop (2020 ACL SRW), July 2020.
  97. Naoya Inoue, Pontus Stenetorp and Kentaro Inui. R4C: A Benchmark for Evaluating RC Systems to Get the Right Answer for the Right Reason. In Proceedings of the 58th annual meeting of the Association for Computational Linguistics (ACL 2020), pp.6740–6750, July 2020.
  98. Hiroki Ouchi, Jun Suzuki, Sosuke Kobayashi, Sho Yokoi, Tatsuki Kuribayashi, Ryuto Konno and Kentaro Inui. Instance-based Learning of Span Representations: A Case Study through Named Entity Recognition. In Proceedings of the 58th annual meeting of the Association for Computational Linguistics (ACL 2020), pp.6452–6459, July 2020.
  99. Tatsuki Kuribayashi, Takumi Ito, Jun Suzuki and Kentaro Inui. Language Models as an Alternative Evaluator of Word Order Hypotheses: A Case Study in Japanese. In Proceedings of the 58th annual meeting of the Association for Computational Linguistics (ACL 2020), pp.488–504, July 2020.
  100. Shiki Sato, Reina Akama, Hiroki Ouchi, Jun Suzuki and Kentaro Inui. Evaluating Dialogue Generation Systems via Response Selection. In Proceedings of the 58th annual meeting of the Association for Computational Linguistics (ACL 2020), pp.593–599, July 2020.
  101. Masahiro Kaneko, Masato Mita, Shun Kiyono, Jun Suzuki and Kentaro Inui. Encoder-Decoder Models Can Benefit from Pre-trained Masked Language Models in Grammatical Error Correction. In Proceedings of the 58th annual meeting of the Association for Computational Linguistics (ACL 2020), pp.4248–4254, July 2020.
  102. Hitomi Yanaka, Koji Mineshima, Daisuke Bekki and Kentaro Inui. Do Neural Models Learn Systematicity of Monotonicity Inference in Natural Language?. In Proceedings of the 58th annual meeting of the Association for Computational Linguistics (ACL 2020), pp.6105-6117, July 2020.
  103. Ryosuke Kuwabara, Jun Suzuki and Hideki Nakayama. Single Model Ensemble using Pseudo-Tags and Distinct Vectors. In Proceedings of the 58th annual meeting of the Association for Computational Linguistics (ACL 2020), pp.3006–3013, July 2020.
  104. Ryo Nagata, Kentaro Inui and Shin’ichiro Ishikawa. Creating Corpora for Research in Feedback Comment Generation. In Proceedings of the 12th International Conference on the Language Resources and Evaluation Conference (LREC 2020), pp.–, May 2020.
  105. Masato Hagiwara and Masato Mita. GitHub Typo Corpus: A Large-Scale Multilingual Dataset of Misspellings and Grammatical Errors. In Proceedings of the 12th International Conference on the Language Resources and Evaluation Conference (LREC 2020), pp.6761–6768, May 2020.
  106. Saku Sugawara, Pontus Stenetorp, Kentaro Inui and Akiko Aizawa. Assessing the Benchmarking Capacity of Machine Reading Comprehension Datasets. In Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI 2020), pp.8918-8927, February 2020.
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  107. Keshav Singh, Paul Reisert, Naoya Inoue, Pride Kavumba and Kentaro Inui. Improving Evidence Detection by Leveraging Warrants. Proceedings of FEVER: The Second Workshop on Fact Extraction and Verification , pp. 57–62, November 2019.
  108. Tianqi Wang, Naoya Inoue, Hiroki Ouchi, Tomoya Mizumoto and Kentaro Inui. Inject Rubrics Into Short Answer Grading System. Proceedings of the 2nd Workshop on Deep Learning Approaches for Low-Resource NLP (DeepLo 2019), pp. 175–182, November 2019.
  109. Pride Kavumba, Naoya Inoue, Benjamin Heinzerling, Keshav Singh, Paul Reisert and Kentaro Inui. When Choosing Plausible Alternatives, Clever Hans can be Clever. Proceedings of the First Workshop on Commonsense Inference in Natural Language Processing, pp. 33-42, November 2019.
  110. Shun Kiyono, Jun Suzuki, Masato Mita, Tomoya Mizumoto and Kentaro Inui. An Empirical Study of Incorporating Pseudo Data into Grammatical Error Correction. In Proceedings of 2019 Conference on Empirical Methods in Natural Language Processing and 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP 2019), pp. 1236-1242, November 2019.
  111. Hiroki Ouchi, Jun Suzuki and Kentaro Inui. Transductive Learning of Neural Language Models for Syntactic and Semantic Analysis. In Proceedings of 2019 Conference on Empirical Methods in Natural Language Processing and 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP 2019), pp. 3665-3671, November 2019.
  112. Xiaoyu Shen, Jun Suzuki, Kentaro Inui, Hui Su, Dietrich Klakow and Satoshi Sekine. Select and Attend: Towards Controllable Content Selection in Text Generation. In Proceedings of 2019 Conference on Empirical Methods in Natural Language Processing and 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP 2019), pp. 579–590, November 2019.
  113. Masato Hagiwara, Takumi Ito, Tatsuki Kuribayashi, Jun Suzuki and Kentaro Inui. TEASPN: Framework and Protocol for Integrated Writing Assistance Environments. In Proceedings of 2019 Conference on Empirical Methods in Natural Language Processing and 9th International Joint Conference on Natural Language Processing: System Demonstrations (EMNLP-IJCNLP 2019), pp. 229–234, November 2019.
  114. Takumi Ito, Tatsuki Kuribayashi, Hayato Kobayashi, Ana Brassard, Masato Hagiwara, Jun Suzuki and Kentaro Inui. Diamonds in the Rough: Generating Fluent Sentences from Early-stage Drafts for Academic Writing Assistance. In Proceedings of the 12th International Conference on Natural Language Generation (INLG 2019), pp. 40–53, October 2019.
  115. Yuta Hitomi, Yuya Taguchi, Hideaki Tamori, Ko Kikuta, Jiro Nishitoba, Naoaki Okazaki, Kentaro Inui, Manabu Okumura. A Large-Scale Multi-Length Headline Corpus for Analyzing Length-Constrained Headline Generation Model Evaluation. In Proceedings of the 12th International Conference on Natural Language Generation (INLG 2019), pp. 333–343, November 2019.
  116. Yi Zhu, Benjamin Heinzerling, Ivan Vulić, Michael Strube, Roi Reichart, Anna Korhonen: On the Importance of Subword Information for Morphological Tasks in Truly Low-Resource Languages. Proceedings of the 23rd Conference on Computational Natural Language Learning (CoNLL 2019), pp. 216-226, November 2019
  117. Qin Dai, Naoya Inoue, Paul Reisert, Ryo Takahashi and Kentaro Inui. Incorporating Chains of Reasoning over Knowledge Graph for Distantly Supervised Biomedical Knowledge Acquisition. In Proceedings of the 33rd Pacific Asia Conference on Language, Information and Computation (PACLIC 33), pp. 19-28, September 2019.
  118. Tatsuki Kuribayashi, Hiroki Ouchi, Naoya Inoue, Paul Reisert, Toshinori Miyoshi, Jun Suzuki and Kentaro Inui. An Empirical Study of Span Representations in Argumentation Structure Parsing. In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics (ACL 2019), pp. 4691-4698, July 2019.
  119. Benjamin Heinzerling, Michael Strube. Sequence Tagging with Contextual and Non-Contextual Subword Representations: A Multilingual Evaluation. In: Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics (ACL 2019), pp. 273-291, July 2019.
  120. Motoki Sato, Jun Suzuki, Shun Kiyono. Effective Adversarial Regularization for Neural Machine Translation. In: Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics (ACL 2019), pp. 204-210, July 2019.
  121. Farjana Sultana Mim, Naoya Inoue, Paul Reisert, Hiroki Ouchi and Kentaro Inui. Unsupervised Learning of Discourse-Aware Text Representation for Essay Scoring. In Proceedings of the 57th Conference of the Association for Computational Linguistics: Student Research Workshop (ACL SRW 2019), pp. 378–385, July 2019.
  122. Hitomi Yanaka, Koji Mineshima, Daisuke Bekki, Kentaro Inui, Satoshi Sekine, Lasha Abzianidze and Johan Bos. Can neural networks understand monotonicity reasoning? In Proceedings of ACL2019 Workshop on Analyzing and interpreting neural networks for NLP (BlackboxNLP2019), pp. 31-40, July 2019.
  123. Tomoya Mizumoto, Hiroki Ouchi, Yoriko Isobe, Paul Reisert, Ryo Nagata, Satoshi Sekine and Kentaro Inui. Analytic Score Prediction and Justification Identification in Automated Short Answer Scoring. In Proceedings of the Fourteenth Workshop on Innovative Use of NLP for Building Educational Applications (BEA 14). pp. 316-325, August 2019.
  124. Hiroki Asano, Masato Mita, Tomoya Mizumoto, Jun Suzuki. The AIP-Tohoku System at the BEA-2019 Shared Task. In Proceedings of the 14th Workshop on Innovative Use of NLP for Building Educational Applications (BEA 14), pp. 176-182, July 2019.
  125. Paul Reisert, Gisela Vallejo, Naoya Inoue, Iryna Gurevych and Kentaro Inui. An Annotation Protocol for Collecting User-Generated Counter-Arguments using Crowdsourcing. In Proceedings of the 20th International Conference on Artificial Intelligence in Education (AIED), pp. 232-236, July 2019.
  126. Hitomi Yanaka, Koji Mineshima, Daisuke Bekki, Kentaro Inui, Satoshi Sekine, Lasha Abzianidze and Johan Bos. HELP: A Dataset for Identifying Shortcomings of Neural Models in Monotonicity Reasoning. In Proceedings of the 8th Joint Conference on Lexical and Computational Semantics (*SEM), pp. 250-255, June 2019.
  127. Kazuaki Hanawa, Shota Sasaki, Hiroki Ouchi, Jun Suzuki and Kentaro Inui. The Sally Smedley Hyperpartisan News Detector at SemEval-2019 Task 4. Proceedings of the 13th International Workshop on Semantic Evaluation (SemEval), pp.1057-1061, June 2019.
  128. Shota Sasaki, Jun Suzuki and Kentaro Inui. Subword-based Compact Reconstruction of Word Embeddings. Proceedings of the 17th Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT 2019), pp. 3498-3508, June 2019.
  129. Masato Mita, Tomoya Mizumoto, Masahiro Kaneko, Ryo Nagata, Kentaro Inui. Cross-Corpora Evaluation and Analysis of Grammatical Error Correction Models — Is Single-Corpus Evaluation Enough?. In Proceedings of the 17th Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT 2019), pp.1309-1314, June 2019.
  130. Yasutomo Kimura, Hideyuki Shibuki, Hokuto Ototake, Yuzu Uchida, Keiichi Takamaru, Kotaro Sakamoto, Madoka Ishioroshi, Teruko Mitamura, Noriko Kando, Tatsunori Mori, Harumichi Yuasa, Satoshi Sekine and Kentaro Inui. Overview of the NTCIR-14 QA Lab-PoliInfo Task. In Proceedings of the 14th NTCIR Conference, pp.121-140, June 2019.
  131. Sho Takase, Jun Suzuki, Masaaki Nagata. Character n-gram Embeddings to Improve RNN Language Models. In Proceedings of The Thirty-Third AAAI Conference on Artificial Intelligence (AAAI-19), pp.5074-5082, January 2019.
  132. Qin Dai, Naoya Inoue, Paul Reisert, Ryo Takahashi, Kentaro Inui. Distantly Supervised Biomedical Knowledge Acquisition via Knowledge Graph Based Attention. In Proceedings of the Workshop on Extracting Structured Knowledge from Scientific Publications, pp.1–10, June 2019.
  133. Shun Kiyono, Jun Suzuki, Kentaro Inui. Mixture of Expert/Imitator Networks: Scalable Semi-supervised Learning Framework. In Proceedings of The Thirty-Third AAAI Conference on Artificial Intelligence (AAAI-19), pp.4073-4081, January 2019.
  134. Qin Dai, Naoya Inoue, Paul Reisert and Kentaro Inui. Improving Scientific Relation Classification with Task Specific Supersense. In Proceedings of the 32nd Pacific Asia Conference on Language, Information and Computing (PACLIC32), pp.129-138, December 2018.
  135. Shun Kiyono, Sho Takase, Jun Suzuki, Naoaki Okazaki, Kentaro Inui and Masaaki Nagata. Reducing Odd Generation from Neural Headline Generation. In Proceedings of the 32nd Pacific Asia Conference on Language, Information and Computation (PACLIC32), pp.290-303, December 2018.
  136. Tsubasa Tagami, Hiroki Ouchi, Hiroki Asano, Kazuaki Hanawa, Kaori Uchiyama, Kaito Suzuki, Kentaro Inui, Atsushi Komiya, Atsuo Fujimura, Ryo Yamashita, Hitofumi Yanai and Akinori Machino. Suspicious News Detection Using Micro Blog Text. In Proceedings of the 32nd Pacific Asia Conference on Language, Information and Computation (PACLIC 32), pp.648-657, December 2018.
  137. Kaori Abe, Yuichiroh Matsubayashi, Naoaki Okazaki, and Kentaro Inui. Multi-dialect Neural Machine Translation and Dialectometry. Proceedings of the 32nd Pacific Asia Conference on Language, Information and Computation (PACLIC 32), pp.1-10, December 2018.
  138. Qin Dai, Naoya Inoue, Paul Reisert and Kentaro Inui. Scientific Knowledge Acquisition via the Interaction between Relation Extraction and Knowledge Graph Completion. In Proceedings of Third International Workshop on SCIentific DOCument Analysis (SCIDOCA), November 2018.
  139. Ryo Nagata, Tomoya Mizumoto, Yuta Kikuchi, Yoshifumi Kawasaki and Kotaro Funakoshi. A POS Tagging Model Designed for Learner English. The 4th Workshop on Noisy User-generated Text (W-NUT). pp.39-48, November 2018.
  140. Takuya Makino, Tomoya Noro, Hiyori Yoshikawa, Tomoya Iwakura, Satoshi Sekine and Kentaro Inui. An FAQ Search Training Method based on Automatically Generated Questions. The 14th Asia Information Retrieval Societies Conference (AIRS 2018), pp.–, November 2018.
  141. Saku Sugawara, Kentaro Inui, Satoshi Sekine, and Akiko Aizawa. What Makes Reading Comprehension Questions Easier?. In Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing (EMNLP 2018), pp.4208-4219, November 2018.
  142. Hiroki Ouchi, Hiroyuki Shindo, and Yuji Matsumoto. A Span Selection Model for Semantic Role Labeling. In Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing (EMNLP 2018), pp.1630-1642, November 2018.
  143. Sho Yokoi, Sosuke Kobayashi, Kenji Fukumizu, Jun Suzuki, and Kentaro Inui. Pointwise HSIC: A Linear-Time Kernelized Co-occurrence Norm for Sparse Linguistic Expressions. In Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing (EMNLP 2018), pp.1763-1775, November 2018.
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  144. Sho Takase, Jun Suzuki and Masaaki Nagata. Direct Output Connection for a High-Rank Language Model. In Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing (EMNLP 2018), pp.4599-4609, November 2018.
    • paper, presentation
  145. Paul Reisert, Naoya Inoue, Tatsuki Kuribayashi and Kentaro Inui. Feasible Annotation Scheme for Capturing Policy Argument Reasoning using Argument Templates. In Proceedings of The 5th Workshop on Argument Mining, pp.79-89, November 2018.
  146. Diana Galvan, Naoaki Okazaki, Koji Matsuda and Kentaro Inui. Investigating the Challenges of Temporal Relation Extraction from Clinical Text. In Proceedings of the Ninth International Workshop on Health Text Mining and Information Analysis (LOUHI 2018), pp.55-64, October 2018.
    • paper, poster
  147. Shun Kiyono, Sho Takase, Jun Suzuki, Naoaki Okazaki, Kentaro Inui and Masaaki Nagata. Unsupervised Token-wise Alignment to Improve Interpretation of Encoder-Decoder Models. In Proceedings of the 2018 EMNLP Workshop BlackboxNLP: Analyzing and Interpreting Neural Networks for NLP, pp.74-81, October 2018.
  148. Yuichiroh Matsubayashi and Kentaro Inui. Distance-Free Modeling of Multi-Predicate Interactions in End-to-End Japanese Predicate-Argument Structure Analysis. In Proceedings of the 27th International Conference on Computational Linguistics (COLING 2018), pp.94-106, August 2018.
    • paper, presentation, paper_source, presentation_source, metadata
  149. Akira Sasaki, Kazuaki Hanawa, Naoaki Okazaki and Kentaro Inui. Predicting Stances from Social Media Posts using Factorization Machines. In Proceedings of the 27th International Conference on Computational Linguistics (COLING 2018), pp.3381-3390, August 2018.
    • paper, presentation
  150. Makoto Morishita, Jun Suzuki and Masaaki Nagata. Improving Neural Machine Translation by Incorporating Hierarchical Subword Features. In Proceedings of the 27th International Conference on Computational Linguistics (COLING 2018), pp.618-629, August 2018.
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  151. Motoki Sato, Hiroki Ouchi and Yuta Tsuboi. Addressee and Response Selection for Multilingual Conversation. In Proceedings of the 27th International Conference on Computational Linguistics (COLING 2018), pp.3631-3644, August 2018.
    • paper, presentation
  152. Reina Akama, Kento Watanabe, Sho Yokoi, Sosuke Kobayashi and Kentaro Inui. Unsupervised Learning of Style-sensitive Word Vectors. In Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (ACL 2018), pp.572-578, July 2018.
  153. Ryo Takahashi, Ran Tian and Kentaro Inui. Interpretable and Compositional Relation Learning by Joint Training with an Autoencoder. In Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (ACL 2018), pp.2148-2159, July 2018.
  154. Jun Suzuki, Sho Takase, Hidetaka Kamigaito, Makoto Morishita and Masaaki Nagata. An Empirical Study of Building a Strong Baseline for Constituency Parsing. In Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (ACL 2018), pp.612-618, July 2018.
  155. Motoki Sato, Jun Suzuki, Hiroyuki Shindo and Yuji Matsumoto. Interpretable Adversarial Perturbation in Input Embedding Space for Text. In Proceedings of the 27th International Joint Conference on Artificial Intelligence and the 23rd European Conference on Artificial Intelligence (IJCAI-ECAI-2018), pp.4323-4330, July 2018.
  156. Shota Sasaki, Shuo Sun, Shigehiko Schamoni, Kevin Duh and Kentaro Inui. Cross-lingual Learning-to-Rank with Shared Representations. In Proceedings of the 16th Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT 2018), pp.458-463, June 2018.
  157. Kento Watanabe, Yuichiroh Matsubayashi, Satoru Fukayama, Masataka Goto, Kentaro Inui and Tomoyasu Nakano. A Melody-conditioned Lyrics Language Model. In Proceedings of the 16th Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT 2018), pp.163-172, June 2018.
    • paper, presentation, paper_source, presentation_source, metadata
  158. Tomoya Mizumoto, Ryo Nagata. Analyzing the Impact of Spelling Errors on POS-Tagging and Chunking in Learner English. In Proceedings of the 4th Workshop on Natural Language Processing Techniques for Educational Applications (NLPTEA2017). pp.54-58, December 2017.
  159. Sosuke Kobayashi, Naoaki Okazaki, and Kentaro Inui. A Neural Language Model for Dynamically Representing the Meanings of Unknown Words and Entities in a Discourse. In Proceedings of the 8th International Joint Conference on Natural Language Processing (IJCNLP), pp.473-483, November 2017.
  160. Hiroki Asano, Tomoya Mizumoto, and Kentaro Inui. Reference-based Metrics can be Replaced with Reference-less Metrics in Evaluating Grammatical Error Correction Systems. In Proceedings of the 8th International Joint Conference on Natural Language Processing (IJCNLP), pp.343-348, November 2017.
  161. Reina Akama, Kazuaki Inada, Naoya Inoue, Sosuke Kobayashi and Kentaro Inui. Generating Stylistically Consistent Dialog Responses with Transfer Learning. In Proceedings of the 8th International Joint Conference on Natural Language Processing (IJCNLP), pp.408-412, November 2017.
  162. Yuichiroh Matsubayashi and Kentaro Inui. Revisiting Design Issues of Local Models for Japanese Predicate-Argument Structure Analysis. In Proceedings of the 8th International Joint Conference on Natural Language Processing (IJCNLP), pp. 128-133, November 2017.
  163. Yuta Hitomi, Hideaki Tamori, Naoaki Okazaki and Kentaro Inui. Proofread Sentence Generation as Multi-Task Learning with Edit Operation Prediction. In Proceedings of the 8th International Joint Conference on Natural Language Processing (IJCNLP), pp.436-441, November 2017.
  164. Kazuaki Hanawa, Akira Sasaki, Naoaki Okazaki, and Kentaro Inui. A Crowdsourcing Approach for Annotating Causal Relation Instances in Wikipedia. In Proceedings of the 31st Pacific Asia Conference on Language, Information and Computation (PACLIC), pp.336-345, November 2017.
  165. Shota Sasaki, Sho Takase, Naoya Inoue, Naoaki Okazaki, and Kentaro Inui. Handling Multiword Expressions in Causality Estimation. In Proceedings of the 12th International Conference on Computational Semantics (IWCS), 6 pages, September, 2017.
  166. Hideaki Tamori, Yuta Hitomi, Naoaki Okazaki, Kentaro Inui. Analyzing the Revision Logs of a Japanese Newspaper for Article Quality Assessment. In Proceedings of the 2017 EMNLP Workshop: Natural Language Processing meets Journalism, pp.46-50, September 2017.
  167. Taku Nakamura, Rafal Rzepka, Kenji Araki, and Kentaro Inui. Be More Eloquent, Professor ELIZA – Comparison of Utterance Generation Methods for Artificial Second Language Tutor. In Proceedings of Linguistic and Cognitive Approaches to Dialog Agents (LaCATODA 2017), pp.34–41, August 2017.
  168. Sho Yokoi, Daichi Mochihashi, Ryo Takahashi, Naoaki Okazaki, and Kentaro Inui. Learning Co-Substructures by Kernel Dependence Maximization. In Proceedings of the 26th International Joint Conference on Artificial Intelligence (IJCAI 2017), pp.3329-3335. August 2017.
  169. Akira Sasaki, Kazuaki Hanawa, Naoaki Okazaki and Kentaro Inui. Other Topics You May Also Agree or Disagree: Modeling Inter-Topic Preferences using Tweets and Matrix Factorization. In Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (ACL 2017), pp.398-408, August 2017.
  170. Koji Matsuda, Mizuki Sango, Naoaki Okazaki and Kentaro Inui. Monitoring Geographical Entities with Temporal Awareness in Tweets. In Proceedings of 18th International Conference on Computational Linguistics and Intelligent Text Processing (CICLING), 12 pages, April 2017.
  171. Paul Reisert, Naoya Inoue, Naoaki Okazaki and Kentaro Inui. Designing a Task for Recognizing Argumentation Logic in Argumentative Texts. In Proceedings of 18th International Conference on Computational Linguistics and Intelligent Text Processing (CICLING), April 2017.
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  172. Paul Reisert, Naoya Inoue, Naoaki Okazaki and Kentaro Inui. Identifying and Ranking Relevant Claims for Decision Support. In Proceedings of 18th International Conference on Computational Linguistics and Intelligent Text Processing (CICLING), April 2017.
    • paper, paper_source
  173. Melissa Roemmele, Sosuke Kobayashi, Naoya Inoue and Andrew Gordon. An RNN-based Binary Classifier for the Story Cloze Test. In Proceedings of the 2nd Workshop on Linking Models of Lexical, Sentential and Discourse-level Semantics (LSDSem), pp.74-80, April 2017.
  174. Naoya Inoue and Andrew Gordon. A Scalable Weighted Max-SAT Implementation of Propositional Etcetera Abduction. In Proceedings of the 30th International Florida Artificial Intelligence Research Society Conference (FLAIRS), pp.62-67, May 2017.
  175. Sonse Shimaoka, Pontus Stenetorp, Kentaro Inui and Sebastian Riedel. Neural Architectures for Fine-grained Entity Type Classification. In Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics (EACL), pp.1271-1280, April 2017.
    • paper, presentation, paper_source, presentation_source
  176. Kento Watanabe, Yuichiroh Matsubayashi, Kentaro Inui, Tomoyasu Nakano, Satoru Fukayama and Masataka Goto. LyriSys: An Interactive Support System for Writing Lyrics Based on Topic Transition. In Proceedings of the 22nd Annual Meeting of the Intelligent User Interfaces Community (ACM IUI 2017), pp.559—563, March 2017.
  177. Naoya Inoue, Yuichiro Matsubayashi, Masayuki Ono, Naoaki Okazaki and Kentaro Inui. Modeling Context-sensitive Selectional Preference with Distributed Representations. In Proceedings of the 26th International Conference on Computational Linguistics (COLING 2016), pp. 2829-2838, December 2016.
    • paper, presentation, paper_source, presentation_source
  178. Kento Watanabe, Yuichiroh Matsubayashi, Naho Orita, Naoaki Okazaki, Kentaro Inui, Satoru Fukayama, Tomoyasu Nakano, Jordan B. L. Smith and Masataka Goto. Modeling Discourse Segments in Lyrics Using Repeated Patterns. In Proceedings of the 26th International Conference on Computational Linguistics (COLING 2016), pp. 1959-1969, December 2016.
  179. Yusuke Hara, Koji Matsuda, Masao Kuwahara, Naoaki Okazaki and Kentaro Inui. Traffic State Estimation and Cause and Effect Understanding by Probe Data and Social Media Data. In Proceedings of the 21st International Conference of Hong Kong Society for Transportation Studies, Smart Transportation, December 2016.
  180. Sho Takase, Jun Suzuki, Naoaki Okazaki, Tsutomu Hirao and Masaaki Nagata. Neural Headline Generation on Abstractive Meaning Representation. In Proceedings of the conference on Empirical Methods in Natural Language Processing (EMNLP 2016), pp. 1054-1059, November 2016.
  181. Takuya Yashima, Naoaki Okazaki, Kentaro Inui, Kota Yamaguchi and Takayuki Okatani. Learning to Describe E-Commerce Images from Noisy Online Data. In Proceedings of the 13th Asian Conference on Computer Vision (ACCV 2016), 16 pages, November 2016.
  182. Masayasu Muraoka, Sumit Maharjan, Masaki Saito, Kota Yamaguchi, Naoaki Okazaki, Takayuki Okatani and Kentaro Inui. Recognizing Open-vocabulary Relations between Objects in Images. In Proceedings of the 30th Pacific Asia Conference on Language, Information and Computation (PACLIC 30), pp. 339-248, October 2016.
  183. Shuangshuang Zhou, Koji Matsuda, Ran Tian, Naoaki Okazaki and Kentaro Inui. A Pipeline Japanese Entity Linking System with Embedding Features. In Proceedings of the 30th Pacific Asia Conference on Language, Information and Computation (PACLIC 30), pp. 267-276, October 2016.
  184. Mei Uemura, Naho Orita, Naoaki Okazaki and Kentaro Inui. Toward the automatic extraction of knowledge of usable goods. In Proceedings of the 30th Pacific Asia Conference on Language, Information and Computation (PACLIC 30), pp. 277-285, October 2016.
  185. Masatoshi Suzuki, Koji Matsuda, Satoshi Sekine, Naoaki Okazaki and Kentaro Inui. Neural Joint Learning for Classifying Wikipedia Articles into Fine-grained Named Entity Types. In Proceedings of the 30th Pacific Asia Conference on Language, Information and Computation (PACLIC 30), pp. 535-544, October 2016.
  186. Masatoshi Suzuki, Koji Matuda, Satoshi Sekine, Naoaki Okazaki, and Kentaro Inui. Fine-Grained Named Entity Classification with Wikipedia Article Vectors. In Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence, pp. 483-486, October 2016.
    DOI: https://doi.org/10.1109/WI.2016.0080.
  187. Akira Sasaki, Junta Mizuno, Naoaki Okazaki and Kentaro Inui. Stance Classification by Recognizing Related Events about Targets. In Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence, pp. 582-587, October 2016.
  188. Sho Yokoi, Hiroshi Kajino and Hisashi Kashima. Link Prediction by Incidence Matrix Factorization. In Proceedings of the 22nd European Conference on Artificial Intelligence (ECAI 2016), pp. 1730-1731, August 2016.
  189. Sho Takase, Naoaki Okazaki and Kentaro Inui. Composing Distributed Representations of Relational Patterns. In Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (ACL 2016), pp. 2276-2286, August 2016.
  190. Ran Tian, Naoaki Okazaki and Kentaro Inui. Learning Semantically and Additively Compositional Distributional Representations. In Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (ACL 2016), pp. 1277–1287, August 2016.
  191. Davaajav Jargalsaikhan, Naoaki Okazaki, Koji Matsuda and Kentaro Inui. Building a Corpus for Japanese Wikification with Fine-Grained Entity Classes. In Proceedings of the ACL-2016 Student Research Workshop, pp. 138-144, August 2016.
  192. Alvin Grissom II, Naho Orita, Jordan Boyd-Graber. Incremental Prediction of Sentence-final Verbs: Humans versus Machines (CoNLL 2016). August 2016. to appear
  193. Yuki Igarashi, Hiroya Komatsu, Sosuke Kobayashi, Naoaki Okazaki and Kentaro Inui. Tohoku at SemEval-2016 Task 6: Feature-based Model versus Convolutional Neural Network for Stance Detection. In Proceedings of the 10th International Workshop on Semantic Evaluation (SemEval), pp.413-419, June 2016.
  194. Sonse Shimaoka, Pontus Stenetorp, Kentaro Inui and Sebastian Riedel. An Attentive Neural Architecture for Fine-grained Entity Type Classification. In Proceedings of the 5th Workshop on Automated Knowledge Base Construction, pp. 69-74, June 2016.
  195. Sosuke Kobayashi, Ran Tian, Naoaki Okazaki and Kentaro Inui. Dynamic Entity Representation with Max-pooling Improves Machine Reading. In Proceedings of the North American Chapter of the Association for Computational Linguistics and Human Language Technologies (NAACL-HLT 2016), pp.850-855, June 2016.
  196. Tomoya Mizumoto and Yuji Matsumoto. Discriminative Reranking for Grammatical Error Correction with Statistical Machine Translation. In Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT2016), pp. 1133-1138, June 2016.
  197. Kensuke Mitsuzawa, Maito Tauchi, Mathieu Domoulin, Masanori Nakashima and Tomoya Mizumoto. FKC Corpus: a Japanese Corpus from New Opinion Survey Service. In proceedings of the Novel Incentives for Collecting Data and Annotation from People: types, implementation, tasking requirements, workflow and results, pp. 11-18, May 2016.
  198. Corentin Dumont, Ran Tian and Kentaro Inui. Question-Answering with Logic Specific to Video Games. In Proceedings of the 10th International Conference on the Language Resources and Evaluation Conference (LREC-2016), pp. 4637-4643, May 2016.
  199. Junta Mizuno, Canasai Kruengkrai, Kiyonori Ohtake, Chikara Hashimoto, Kentaro Torisawa, Julien Kloetzer and Kentaro Inui. Recognizing Complex Negation on Twitter. In Proceedings of The 29th Pacific Asia Conference on Language, Information and Computation (PACLIC-29), pp.544-552, October 2015. paper
  200. Sho Takase, Naoaki Okazaki and Kentaro Inui. Fast and Large-scale Unsupervised Relation Extraction. In Proceedings of the 29th Pacific Asia Conference on Language, Information and Computation (PACLIC-29), pp. 96-105, October 2015. paper
  201. Hiroya Komatsu, Ran Tian, Naoaki Okazaki and Kentaro Inui. Reducing Lexical features in Parsing by Word Embeddings. In Proceedings of the 29th Pacific Asia Conference on Language, Information and Computation (PACLIC-29), pp.106-113, October 2015. paper
  202. Naoya Inoue, Yasutaka Kuriya, Sosuke Kobayashi and Kentaro Inui. Recognizing potential traffic risks through logic-based deep scene understanding. In Proceedings of the 22nd World Congress on Intelligent Transportation Systems (ITSWC2015), 12 pages, October 2015.
  203. Yoshiaki Kitagawa, Mamoru Komachi, Eiji Aramaki, Naoaki Okazaki, Hiroshi Ishikawa. Disease Event Detection based on Deep Modality Analysis. Proceedings of the ACL-IJCNLP 2015 Student Research Workshop, pp. 28-34, July 2015. paper
  204. Naho Orita, Eliana Vornov, Naomi Feldman, and Hal Daumé III. Why discourse affects speakers’ choices of referring expressions. Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (ACL-IJCNLP 2015) (Volume 1: Long Papers), July 2015. paper
  205. Shin Kanouchi, Mamoru Komachi, Naoaki Okazaki, Eiji Aramaki, Hiroshi Ishikawa. Who caught a cold ? – Identifying the subject of a symptom. Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (ACL-IJCNLP 2015) (Volume 1: Long Papers), pp. 1660-1670, July 2015. paper
  206. Yudai Kamioka, Kazuya Narita, Junta Mizuno, Miwa Kanno and Kentaro Inui. Semantic Annotation of Japanese Functional Expressions and its Impact on Factuality Analysis. In Proceedings of the 9th Linguistic Annotation Workshop (LAW IX 2015), pp.52–61, June 2015. paper (ACL)
  207. Koji Matsuda, Akira Sasaki, Naoaki Okazaki and Kentaro Inui. Annotating Geographical Entities on Microblog Text. In Proceedings of the 9th Linguistic Annotation Workshop (LAW IX 2015), pp.85–94, June 2015. paper (ACL)
  208. Paul Reisert, Naoya Inoue, Naoaki Okazaki, and Kentaro Inui. A Computational Approach for Generating Toulmin Model Argumentation. In Proceedings of the 2nd Workshop on Argumentation Mining, pp.45–55, June 2015. paper (ACL)
  209. Toshihiko Yanase, Toshinori Miyoshi, Kohsuke Yanai, Misa Sato, Makoto Iwayama, Yoshiki Niwa, Paul Reisert and Kentaro Inui. Learning Sentence Ordering for Opinion Generation of Debate. In Proceedings of the 2nd Workshop on Argumentation Mining, pp.94–103, June 2015. paper (ACL)
  210. Canasai Kruengkrai, Naoya Inoue, Jun Sugiura and Kentaro Inui. An Example-Based Approach to Difficult Pronoun Resolution. In Proceedings of the 28th Pacific Asia Conference on Language, Information and Computing (PACLIC), pp.358-367, December 2014.
  211. Kento Watanabe, Yuichiroh Matsubayashi, Kentaro Inui and Masataka Goto. Modeling Structural Topic Transitions for Automatic Lyrics Generation. In Proceedings of the 28th Pacific Asia Conference on Language, Information and Computing (PACLIC), pp.422-431, December 2014. paper 内部資料(論文) 内部資料(発表資料)
  212. Masayasu Muraoka, Sonse Shimaoka, Kazeto Yamamoto, Yotaro Watanabe, Naoaki Okazaki and Kentaro Inui. Finding The Best Model Among Representative Compositional Models. In Proceedings of the 28th Pacific Asia Conference on Language, Information and Computing (PACLIC), pp.65-74, December 2014.
  213. Shuangshuang Zhou, Canasai Kruengkrai, Naoaki Okazaki, Kentaro Inui. Using a Broad Range of Linguistic Features in Entity Discovery and Linking. In Proceedings of Text Analysis Conference 2014 (TAC 2014), November 2014.
  214. Yubing Dong, Ran Tian and Yusuke Miyao. Encoding Generalized Quantifiers in Dependency-based Compositional Semantics. In Proceedings of the 28th Pacific Asia Conference on Language, Information and Computing (PACLIC), pp.585-594, August 2014.
  215. Paul Reisert, Junta Mizuno, Miwa Kanno, Naoaki Okazaki and Kentaro Inui. A Corpus Study for Identifying Evidence on Microblogs. In Proceedings of the 8th Linguistic Annotation Workshop (LAW VIII 2014), pp.70-74, August 2014. paper (ACL)
  216. Keita Nabeshima, Junta Mizuno, Naoaki Okazaki, and Kentaro Inui. Mining False Information on Twitter for a Major Disaster Situation. In Proceedings of the 2014 International Conference on Active Media Technology (AMT2014), pp.96-109, August 2014. (DOI: 10.1007/978-3-319-09912-5_9) paper (Springer)
  217. Ran Tian, Yusuke Miyao, Takuya Matsuzaki; Efficient Logical Inference for Semantic Processing; In Proceedings of the ACL 2014 Workshop on Semantic Parsing (SP14), pp.71-75, June 2014. paper
  218. Ran Tian, Yusuke Miyao, Takuya Matsuzaki; Logical Inference on Dependency-based Compositional Semantics; In Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (ACL 2014), pp.79-89, June 2014. paper
  219. Kazuya Narita, Junta Mizuno and Kentaro Inui. A Lexicon-based Investigation of Research Issues in Japanese Factuality Analysis. In Proceedings of the 6th International Joint Conference on Natural Language Processing (IJCNLP 2013), pp.587-595, October 2013. paper (ACL)
  220. Kiyonori Ohtake, Jun Goto, Stijn De Saeger, Kentaro Torisawa, Junta Mizuno and Kentaro Inui. NICT Disaster Information Analysis System. In Proceedings of the 6th International Joint Conference on Natural Language Processing: System Demonstrations (IJCNLP 2013), pp.29-32, October 2013. paper (ACL)
  221. Naoaki Okazaki, Keita Nabeshima, Kento Watanabe, Junta Mizuno and Kentaro Inui. Extracting and Aggregating False Information from Microblogs. In Proceedings of the Workshop on Language Processing and Crisis Information 2013 (LPCI 2013), pp.36-43, October 2013. paper (ACL)
  222. Yotaro Watanabe, Kentaro Inui, Shingo Suzuki, Hiroko Koumoto, Mitsuhiro Higashida, Yuji Maeda and Katsumi Iwatasuki. Computer-assisted Structuring of Emergency Management Information: A Project Note. In Proceedings of the Workshop on Language Processing and Crisis Information 2013 (LPCI 2013), pp.10-18, October 2013. paper (ACL)
  223. Jun Sugiura, Naoya Inoue and Kentaro Inui. Recognizing Implicit Discourse Relations through Abductive Reasoning with Large-scale Lexical Knowledge. In Proceedings of the 1st Workshop on Natural Language Processing and Automated Reasoning (NLPAR), pp.76-87, September 2013. paper
  224. Sho Takase, Akiko Murakami, Miki Enoki, Naoaki Okazaki and Kentaro Inui. Detecting Chronic Critics Based on Sentiment Polarity and User’s Behavior in Social Media. In Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics Proceedings of the Student Research Workshop, pp.110-116, August 2013. paper (ACL)
  225. Katsuma Narisawa, Yotaro Watanabe, Junta Mizuno, Naoaki Okazaki and Kentaro Inui. Is a 204 cm Man Tall or Small? Acquisition of Numerical Common Sense from the Web. In Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics (ACL 2013), pp.382-391, August 2013. paper (ACL), pubref, pubref pubref
  226. Yotaro Watanabe, Yusuke Miyao, Junta Mizuno, Tomohide Shibata, Hiroshi Kanayama, Cheng-Wei Lee, Chuan-Jie Lin, Shuming Shi, Teruko Mitamura, Noriko Kando, Hideki Shima and Kohichi Takeda. Overview of the Recognizing Inference in Text (RITE-2) at NTCIR-10. In Proceedings of the 10th NTCIR Conference, pp.385-404, June 2013. paper (NTCIR)
  227. Yotaro Watanabe, Junta Mizuno and Kentaro Inui. THK’s Natural Logic-based Compositional Textual Entailment Model at NTCIR-10 RITE-2. In Proceedings of the 10th NTCIR Conference, pp.531-536, June 2013. paper (NTCIR)
  228. Junta Mizuno, Kentaro Inui, Asuka Sumida, Gen Hattori and Chihiro Ono. TKDDI group at NTCIR10-RITE2: Recognizing Texual Entailment Based on Dependency Structure Alignment. In Proceedings of the 10th NTCIR Conference, pp.553-559, June 2013. paper (NTCIR)
  229. Kazuya Narita, Tetsuya Sakai, Zhicheng Dou, Young-In Song. MSRA at NTCIR-10 1CLICK-2. In Proceedings of the 10th NTCIR Conference, pp.218-224, June 2013. paper (NTCIR)
  230. Han-Cheol Cho, Naoaki Okazaki and Kentaro Inui. Inducing Context Gazetteers from Encyclopedic Database for Named Entity Recognition. In Proceedings of the 17th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2013), pp.378-389, April 2013. paper (Springer)
  231. Jiro Umezawa, Junta Mizuno, Naoaki Okazaki and Kentaro Inui. Evidence in Automatic Error Correction Improves Learners’ English Skill. In Proceedings of the 14th International Conference on Intelligent Text Processing and Computational Linguistics (CICLing 2013), pp.559-571, March 2013. paper (Springer)
  232. Kazeto Yamamoto, Naoya Inoue, Yotaro Watanabe, Naoaki Okazaki and Kentaro Inui. Discriminative Learning of First-order Weighted Abduction from Partial Discourse Explanations. In Proceedings of the 14th International Conference on Intelligent Text Processing and Computational Linguistics (CICLing 2013), pp.545-558, March 2013. paper (Springer)
  233. Junta Mizuno, Eric Nichols, Yotaro Watanabe and Kentaro Inui. Organizing Information on the Web through Agreement-Conflict Relation Classification. In Proceedings of the Eighth Asia Information Retrieval Societies Conference (AIRS 2012), pp.126-137, December 2012. paper (Springer)
  234. Naoya Inoue, Ekaterina Ovchinnikova, Kentaro Inui, and Jerry R. Hobbs. Coreference Resolution with ILP-based Weighted Abduction. In Proceedings of the 24th International Conference on Computational Linguistics (COLING 2012): Technical Papers, pp.1291–1308, December 2012. paper (ACL)
  235. Shohei Tanaka, Naoaki Okazaki and Mitsuru Ishizuka. Acquiring and Generalizing Causal Inference Rules from Deverbal Noun Constructions. In Proceedings of the 24th International Conference on Computational Linguistics (COLING 2012): Posters, pp.1209–1218, December 2012. paper (ACL)
  236. Yotaro Watanabe, Junta Mizuno, Eric Nichols, Naoaki Okazaki and Kentaro Inui. A Latent Discriminative Model for Compositional Entailment Relation Recognition Using Natural Logic. In Proceedings of the 24th International Conference on Computational Linguistics (COLING 2012): Technical Papers, pp.2805-2820, December 2012. paper (ACL)
  237. Sho Takase, Naoaki Okazaki and Kentaro Inui. Set Expansion using Sibling Relations between Semantic Categories. In Proceedings of the 26th Pacific Asia Conference on Language Information and Computing, pp. 525-534, November 2012. paper
  238. Naoya Inoue and Kentaro Inui. Large-scale Cost-based Abduction in Full-fledged First-order Predicate Logic with Cutting Plane Inference. In Proceedings of the 13th European Conference on Logics in Artificial Intelligence, pp.281-293, September 2012. paper (Springer)
  239. Yuichiroh Matsubayashi, Yusuke Miyao, Akiko Aizawa. Building Japanese Predicate-argument Structure Corpus using Lexical Conceptual Structure. In Proceedings of LREC 2012, May 2012.
  240. Yuichiroh Matsubayashi, Yusuke Miyao, Akiko Aizawa. Framework of Semantic Role Assignment based on Extended Lexical Conceptual Structure: Comparison with VerbNet and FrameNet. In Proceedings of EACL 2012, pp.686-695, April 2012. PDF
  241. Yotaro Watanabe, Junta Mizuno, Eric Nichols, Katsuma Narisawa, Keita Nabeshima and Kentaro Inui. TU Group at NTCIR9-RITE: Leveraging Diverse Lexical Resources for Recognizing Textual Entailment, Proceedings of the 9th NTCIR, pp.418-421, December 2011. PDF
  242. Yuta Tsuboi, Yuya Unno, Hisashi Kashima, and Naoaki Okazaki. Fast Newton-CG Method for Batch Learning of Conditional Random Fields, Processings of the 25th AAAI Conference on Artificial Intelligence (AAAI), 2011.
  243. Yutaka I. Leon-Suematsu, Kentaro Inui, Sadao Kurohashi, and Yutaka Kidawara. Web Spam Detection by Exploring Densely Connected Subgraphs. In Proceedings of the 2011 IEEE/WIC/ACM International Conference on Web Intelligence, pp.124-129, August 2011.
  244. Naoya Inoue and Kentaro Inui. ILP-based Reasoning for Weighted Abduction. In Proceedings of AAAI Workshop on Plan, Activity and Intent Recognition, August 2011. paper
  245. Yu Usami, Han-Cheol Cho, Naoaki Okazaki, Jun’ichi Tsujii. Automatic Acquisition of Huge Training Data for Bio-Medical Named Entity Recognition. In Proceedings of BioNLP 2011 Workshop, pp. 65-73, June 2011.
  246. Takuya Kawada, Susumu Akamine, Daisuke Kawahara, Yoshikiyo Kato, Yutaka I. Leon-Suematsu, Kentaro Inui, Sadao Kurohashi, and Yutaka Kidawara. Web Information Analysis for Open-domain Decision Support: System Design and User Evaluation. In Proceedings of the Joint WICOW/AIRWeb Workshop on Web Quality, 2011.
  247. Hiram Calvo, Kentaro Inui and Yuji Matsumoto. Co-related Verb Argument Selectional Preferences. In Proceedings of the 12th International Conference on Intelligent Text Processing and Computational Linguistics (CICLing), pp.133-143, 2011.
  248. Hiram Calvo, Omar J. Gambino, Alexander Gelbukh and Kentaro Inui. Dependency Syntax Analysis Using Grammar Induction and a Lexical Categories Precedence System. In Proceedings of the 12th International Conference on Intelligent Text Processing and Computational Linguistics (CICLing), pp.109-120, 2011.
  249. Megumi Ohki, Eric Nichols, Suguru Matsuyoshi, Koji Murakami, Junta Mizuno, Shouko Masuda, Kentaro Inui and Yuji Matsumoto. Recognizing Confinement in Web Texts. In Proceedings of the 9th International Conference on Computational Semantics (IWCS 2011), pp. 215-224, Oxford, UK. pubref
  250. Koji Murakami, Eric Nichols, Junta Mizuno, Yotaro Watanabe, Shouko Masuda, Hayato Goto, Megumi Ohki, Chitose Sao, Suguru Matsuyoshi, Kentaro Inui and Yuji Matsumoto. Statement Map: Reducing Web Information Credibility Noise through Opinion Classification. In Proceedings of the Fourth Workshop on Analytics for Noisy Unstructured Text Data (AND 2010), pp.59-66, Toronto, Canada, 26 October, 2010. pubref
  251. Susumu Akamine, Daisuke Kawahara, Yoshikiyo Kato, Tetsuji Nakagawa, Yutaka I. Leon-Suematsu, Takuya Kawada, Kentaro Inui, Sadao Kurohashi and Yutaka Kidawara. Organizing Information on the Web to Support User Judgments on Information Credibility. In Proceedings of the 4th International Universal Communication Symposium Proceedings (IUCS2010), pp.122-129, October, 2010.
  252. Yoshikiyo Kato, Kentaro Inui and Sadao Kurohashi. Expertise Analysis of Information Senders of Web Pages. In Proceedings of the 4th International Universal Communication Symposium Proceedings (IUCS2010), pp.134-139, October 2010.
  253. Koji Murakami, Eric Nichols, Junta Mizuno, Yotaro Watanabe, Hayato Goto, Megumi Ohki, Suguru Matsuyoshi, Kentaro Inui and Yuji Matsumoto. Automatic Classification of Semantic Relations between Facts and Opinions. In Proceedings of the Second International Workshop on NLP Challenges in the Information Explosion Era (NLPIX 2010), pp.21-30, Beijing, China, August 2010. pubref
  254. Daisuke Kawahara, Kentaro Inui and Sadao Kurohashi. Identifying contradictory and contrastive relations between statements to outline Web information on a given topic. In Proceedings of the 23rd International Conference on Computational Linguistics (COLING), poster, pp.534-542, August 2010.
  255. Koichi Takeuchi, Kentaro Inui, Nao Takeuchi and Atsushi Fujita. A Thesaurus of Predicate-Argument Structure for Japanese Verbs to Deal with Granularity of Verb Meanings. Proceedings of the 8th Workshop on Asian Language Resources, pp.1–8, Beijing, August 2010.
  256. Yotaro Watanabe, Masayuki Asahara and Yuji Matsumoto. A Structured Model for Joint Learning of Argument Roles and Predicate Senses. In Proceedings of the ACL 2010 Conference Short Papers, pages 98-102, Uppsala, Sweden, 11-16 July 2010. PDF
  257. Tetsuji Nakagawa, Kentaro Inui and Sadao Kurohashi. Dependency tree-based sentiment classification using CRFs with hidden variables. In Proceedings of the North American Chapter of the Association for Computational Linguistics and Human Language Technologies (NAACL-HLT), pp.786-794, June 2010.
  258. Suguru Matsuyoshi, Megumi Eguchi, Chitose Sao, Koji Murakami, Kentaro Inui and Yuji Matsumoto. Annotating event mentions in text with modality, focus, and source information. In Proceedings of the Seventh International Conference on Language Resources and Evaluation (LREC), pp.1456-1463, May 2010. pubref pubref

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