Kentaro Inui （乾 健太郎）

Publicatios

International Conferences

International Conferences | Journal Papers | Awards | Books | Review Articles | Invited Talks | Domestic Conferences | Patents | Media Reports | Miscellanea

• Rifo Ahmad Genadi, Munachiso Samuel Nwadike, Nurdaulet Mukhituly, Tatsuya Hiraoka, Hilal AlQuabeh, Kentaro Inui. Sycophancy Hides Linearly in the Attention Heads. EACL2026 Main, 2026. paper
• Keito Kudo, Yoichi Aoki, Tatsuki Kuribayashi, Shusaku Sone, Masaya Taniguchi, Ana Brassard, Keisuke Sakaguchi, Kentaro Inui. LLMs Faithfully and Iteratively Compute Answers During CoT: A Systematic Analysis With Multi-step Arithmetics. EACL2026 Findings, 2026.
• Surawat Pothong, Machi Shimmei, Naoya Inoue, Paul Reisert, Ana Brassard, Wenzhi Wang, Shoichi Naito, Jungmin Choi, Kentaro Inui. FOCUS: A Benchmark for Targeted Socratic Question Generation via Source-Span Grounding. Proceedings of the 14th IJCNLP and 4th AACL, December 2025. paper
• Mutsumi Sasaki, Go kamoda, Ryosuke Takahashi, Kosuke Sato, Kentaro Inui, Keisuke Sakaguchi, Benjamin Heinzerling. Can Language Models Handle a Non-Gregorian Calendar?. Proceedings of the 14th IJCNLP and 4th AACL, December 2025.
• Nhi Hoai Doan, Tatsuya Hiraoka, Kentaro Inui. Understanding and Controlling Repetition Neurons and Induction Heads in In-context learning. AACL2025 Main, 2025. paper
• Ruben Solozabal, Velibor Bojkovic, Hilal AlQuabeh, Kentaro Inui, Martin Takáč. Uncovering the Spectral Bias in Diagonal State Space Models. NeurIPS2025, 2025. paper
• Ryosuke Takahashi, Go Kamoda, Benjamin Heinzerling, Keisuke Sakaguchi, Kentaro Inui. Understanding the Side Effects of Rank-One Knowledge Editing. Proceedings of the 8th BlackboxNLP Workshop: Analyzing and Interpreting Neural Networks for NLP, pages 189-205, November 2025. paper
• Amirbek Djanibekov, Nurdaulet Mukhituly, Kentaro Inui, Hanan Aldarmaki, Nils Lukas. SPIRIT: Patching Speech Language Models against Jailbreak Attacks. EMNLP2025 Main, 2025. paper
• Wenzhi Wang, Paul Reisert, Shoichi Naito, Naoya Inoue, Machi Shimmei, Surawat Pothong, Jungmin Choi, Kentaro Inui. Identification of Multiple Logical Interpretations in Counter-Arguments. EMNLP2025 Main, 2025. paper
• Tatsuro Inaba, Go Kamoda, Kentaro Inui, Masaru Isonuma, Yusuke Miyao, Yohei Oseki, Yu Takagi, Benjamin Heinzerling. How a Bilingual LM Becomes Bilingual: Tracing Internal Representations with Sparse Autoencoders. Findings of the 2025 Conference on Empirical Methods in Natural Language Processing (EMNLP 2025 Findings), November 2025.
• Tatsuya Hiraoka, Kentaro Inui. Spelling-out is not Straightforward: LLMs’ Capability of Tokenization from Token to Characters. EMNLP2025 Findings, 2025. paper
• Sho Takishita, Jay Gala, Abdelrahman Mohamed, Kentaro Inui, Yova Kementchedjhieva. LLMs Can Compensate for Deficiencies in Visual Representations. EMNLP2025 Findings, 2025. paper
• Munachiso S Nwadike, Zangir Iklassov, Toluwani Aremu, Tatsuya Hiraoka, Benjamin Heinzerling, Velibor Bojkovic, Hilal AlQuabeh, Martin Takáč, Kentaro Inui. 2025.
• Masaki Sakata, Benjamin Heinzerling, Sho Yokoi, Takumi Ito, Kentaro Inui. On Entity Identification in Language Models. Findings of the 63rd Annual Meeting of the Association for Computational Linguistics, July 2025.
• Munachiso Nwadike, Zangir Iklassov, Toluwani Aremu, Tatsuya Hiraoka, Velibor Bojkovic, Benjamin Heinzerling, Hilal Alqaubeh, Martin Takáč, Kentaro Inui. RECALL: Library-Like Behavior In Language Models is Enhanced by Self-Referencing Causal Cycles. ACL2025 Main, 2025. paper
• Ayana Niwa, Masahiro Kaneko, Kentaro Inui. Rectifying Belief Space via Unlearning to Harness LLMs’ Reasoning. ACL2025 Findings, 2025. paper
• Yuko Tanaka, Hiromi Arai, Miwa Inuzuka, Yoichi Takahashi, Minao Kukita, Ryuta Iseki, Kentaro Inui. Beyond Click to Cognition: Effective Interventions for Promoting Examination of False Beliefs in Misinformation. Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems, p.1-18, April 2025.
• Machi Shimmei, Masaki Uto, Yuichiroh Matsubayashi, Kentaro Inui, Aditi Mallavarapu, Noboru Matsuda. Tell Me Who Your Students Are: GPT Can Generate Valid Multiple-Choice Questions When Students’ (Mis)Understanding is Hinted. The 26th International Conference on Artificial Intelligence in Education (AIED 2025 Late Breaking Results), pp. 126-134, July 2025. paper
• Steven Coyne, Diana Galvan-Sosa, Ryan Spring, Camélia Guerraoui, Michael Zock, Keisuke Sakaguchi, Kentaro Inui. Annotating Errors in English Learners’ Written Language Production: Advancing Automated Written Feedback Systems. The 26th International Conference on Artificial Intelligence in Education (AIED 2025), pp. 292-306, July 2025. paper
• Ahmed Oumar El-Shangiti, Tatsuya Hiraoka, Hilal AlQuabeh, Benjamin Heinzerling, Kentaro Inui. The Geometry of Numerical Reasoning: Language Models Compare Numeric Properties in Linear Subspaces. Findings of the Association for Computational Linguistics: NAACL 2025, pp.550–561, April 2025. paper
• Tatsuya Hiraoka, Kentaro Inui. Repetition Neurons: How Do Language Models Produce Repetitions?. Findings of the Association for Computational Linguistics: NAACL 2025, pp.483-495, April 2025. paper
• Yunmeng Li, Jun Suzuki, Makoto Morishita, Kaori Abe, Kentaro Inui. MQM-Chat: Multidimensional Quality Metrics for Chat Translation. Proceedings of the 31st International Conference on Computational Linguistics (COLING 2025).
• Yoichi Aoki, Keito Kudo, Tatsuki Kuribayashi, Shusaku Sone, Masaya Taniguchi, Keisuke Sakaguchi, Kentaro Inui. First Heuristic Then Rational: Dynamic Use of Heuristics in Language Model Reasoning. Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP 2024), pp.14255–14271, November 2024. paper
• Qin Dai, Benjamin Heinzerling, Kentaro Inui. Representational Analysis of Binding in Language Models. Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP 2024), pp.17468-17493, November 2024. paper
• Irfan Robbani, Paul Reisert, Surawat Pothong, Naoya Inoue, Camélia Guerraoui, Wenzhi Wang, Shoichi Naito, Jungmin Choi, Kentaro Inui. Flee the Flaw: Annotating the Underlying Logic of Fallacious Arguments Through Templates and Slot-filling. Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP 2024), pp. 20524-20540, November 2024. paper
• Shoichi Naito, Wenzhi Wang, Paul Reisert, Naoya Inoue, Camélia Guerraoui, Kenshi Yamaguchi, Jungmin Choi, Irfan Robbani, Surawat Pothong, Kentaro Inui. Designing Logic Pattern Templates for Counter-Argument Logical Structure Analysis. Findings of the 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP 2024 Findings), pp. 11313-11331, November 2024. paper
• Ana Brassard, Benjamin Heinzerling, Keito Kudo, Keisuke Sakaguchi, Kentaro Inui. ACORN: Aspect-wise Commonsense Reasoning Explanation Evaluation. Conference on Language Modeling (COLM 2024), October 2024. paper
• Benjamin Heinzerling, Kentaro Inui. Monotonic Representation of Numeric Attributes in Language Models. Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), August 2024. paper
• Haruto Yoshida, Keito Kudo, Yoichi Aoki, Ryota Tanaka, Itsumi Saito, Keisuke Sakaguchi, Kentaro Inui. How Well Do Vision Models Encode Diagram Attributes?. ACL Student Research Workshop (ACL-SRW 2024), August 2024. paper
• Shiki Sato, Reina Akama, Jun Suzuki, Kentaro Inui. A Large Collection of Model-generated Contradictory Responses for Consistency-aware Dialogue Systems. Findings of the 2024 Conference on Empirical Methods in Natural Language Processing (ACL 2024 Findings), pp. 16047-16062, August 2024. paper
• Momoka Furuhashi, Hiroaki Funayama, Yuya Iwase, Yuichiroh Matsubayashi, Yoriko Isobe, Toru Nagahama, Saku Sugawara, Kentaro Inui. Automatic feedback generation for short answer questions using answer diagnostic graphs. 16th annual International Conference on Education and New Learning Technologies (EDULEARN2024), pp. 6706-6716, July 2024. paper
• Masato Mita, Keisuke Sakaguchi, Masato Hagiwara, Tomoya Mizumoto, Jun Suzuki, Kentaro Inui. Towards Automated Document Revision: Grammatical Error Correction, Fluency Edits, and Beyond. 19th Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2024), pp. 251-265, June 2024. paper
• Kosuke Matsuzaki, Masaya Taniguchi, Kentaro Inui, Keisuke Sakaguchi. J-UniMorph: Japanese Morphological Annotation through the Universal Feature Schema.
• Yukiko Ishizuki, Tatsuki Kuribayashi, Yuichiroh Matsubayashi, Ryohei Sasano, Kentaro Inui. To Drop or Not to Drop?. June 2024.
• Goro Kobayashi, Tatsuki Kuribayashi, Sho Yokoi, Kentaro Inui. Analyzing Feed-Forward Blocks in Transformers through the Lens of Attention Maps. Proceedings for the 12th International Conference on Learning Representations (ICLR 2024), Spotlight Presentation, May 2024. paper
• Jungo Kasai, Keisuke Sakaguchi, Yoichi Takahashi, Ronan Le Bras, Akari Asai, Xinyan Velocity Yu, Dragomir Radev, Noah A. Smith, Yejin Choi, Kentaro Inui. RealTime QA: What’s the Answer Right Now?. Thirty-seventh Conference on Neural Information Processing Systems Datasets and Benchmarks Track, 19 pages, December 2023. paper
• Ikumi Ito, Takumi Ito, Jun Suzuki, Kentaro Inui. Investigating the Effectiveness of Multiple Expert Models Collaboration. Findings of the 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP2023 Findings), pp.14393–14404, December 2023. paper
• Go Kamoda, Benjamin Heinzerling, Keisuke Sakaguchi, Kentaro Inui. Test-time Augmentation for Factual Probing. Findings of the Association for Computational Linguistics: EMNLP 2023, pages 3650–3661, 2023. paper
• Hiroto Kurita, Goro Kobayashi, Sho Yokoi, Kentaro Inui. Contrastive Learning-based Sentence Encoders Implicitly Weight Informative Words. Findings of the 2023 Conference on Empirical Methods in Natural Language Processing, pp10932-10947, December 2023. paper
• Camelia Guerraoui, Paul Reisert, Naoya Inoue, Farjana Sultana Mim, Keshav Singh, Jungmin Choi, Irfan Robbani, Shoichi Naito, Wenzhi Wang, Kentaro Inui. Teach Me How to Argue: A Survey on NLP Feedback Systems in Argumentation. Proceedings of the 10th Workshop on Argument Mining (ArgMining 2023), pages 19–34, December 2023. paper
• Yunmeng Li, Jun Suzuki, Makoto Morishita, Kaori Abe, Kentaro Inui. 2023. 2023.
• 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. Proceedings of the 36th Annual ACM Symposium on User Interface Software and Technology (UIST2023), No. 45, pp. 1–13, October 2023. paper
• Yuya Asazuma, Hiroaki Funayama, Yuichiroh Matsubayashi, Tomoya Mizumoto, Paul Reisert, Kentaro Inui. Take No Shortcuts!.
• 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, p.2304-2310, July 2023. paper
• Haruki Nagasawa, Benjamin Heinzerling, Kazuma Kokuta, Kentaro Inui. Can LMs Store and Retrieve 1-to-N Relational Knowledge?. ACL Student Research Workshop (ACL-SRW 2023), pp. 130-138, July 2023. paper
• Masaki Sakata, Sho Yokoi, Benjamin Heinzerling, Kentaro Inui. Geometric Locality of Entity Embeddings in Masked Language Models. ACL Student Research Workshop (ACL-SRW 2023), July 2023. paper
• Hiroaki Funayama, Yuya Asazuma, Yuichiroh Matsubayashi, Tomoya Mizumoto, Jun Suzuki, Kentaro Inui. Reducing the Cost: Cross-Prompt Pre-Finetuning for Short Answer Scoring. The 24th International Conference on Artificial Intelligence in Education (AIED2023), pp.78-89, July 2023. paper
• Goro Kobayashi, Tatsuki Kuribayashi, Sho Yokoi, Kentaro Inui. Transformer Language Models Handle Word Frequency in Prediction Head. Findings of the 61st Annual Meeting of the Association for Computational Linguistics (ACL2023 Findings), pp.4523-4535, July 2023. paper
• Hiroto Kurita, Ikumi Ito, Hiroaki Funayama, Shota Sasaki, Shoji Moriya, Ye Mengyu, Kazuma Kokuta, Ryujin Hatakeyama, Shusaku Sone, Kentaro Inui. TohokuNLP at SemEval-2023 Task 5: Clickbait Spoiling via Simple Seq2seq Generation and Ensembling. Proceedings of the 17th International Workshop on Semantic Evaluation (SemEval).
• Keito Kudo, Yoichi Aoki, Tatsuki Kuribayashi, Ana Brassard, Masashi Yoshikawa, Keisuke Sakaguchi, Kentaro Inui. Do Deep Neural Networks Capture Compositionality in Arithmetic Reasoning?. Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics (EACL2023), pp. 1342-1352, May 2023. paper
• Yoichi Aoki, Keito Kudo, Tatsuki Kuribayashi, Ana Brassard, Masashi Yoshikawa, Keisuke Sakaguchi, Kentaro Inui. Empirical Investigation of Neural Symbolic Reasoning Strategies. Findings of the 17th Conference of the European Chapter of the Association for Computational Linguistics (EACL2023 Findings), pp. 1124-1132, May 2023. paper
• Pride Kavumba, Ana Brassard, Benjamin Heinzerling, Kentaro Inui. Prompting for explanations improves Adversarial NLI.. Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics (EACL2023), pp. 2165-2180, May 2023. paper
• Yuko Tanaka, Miwa Inuzuka, Hiromi Arai, Yoichi Takahashi, Minao Kukita, Kentaro Inui. Who Does Not Benefit from Fact-Checking Websites?.
• Yuta Matsumoto, Benjamin Heinzerling, Masashi Yoshikawa, Kentaro Inui. Tracing and Manipulating Intermediate Values in Neural Math Problem Solvers. The 1st Workshop on Mathematical Natural Language Processing (MathNLP 2022), pp. 1-6, December 2022. paper
• Yuta Matsumoto, Benjamin Heinzerling, Masashi Yoshikawa, Kentaro Inui. Tracing and Manipulating Intermediate Results in Neural Math Problem Solvers. Proceedings of the Fifth BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP, pp.1–6, December 2022.
• Qin Dai, Benjamin Heinzerling, Kentaro Inui. Cross-stitching Text and Knowledge Graph Encoders for Distantly Supervised Relation Extraction. Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP 2022), pp. 6947–6958, December 2022. paper
• Tatsuki Kuribayashi, Yohei Oseki, Ana Brassard, Kentaro Inui. Context Limitations Make Neural Language Models More Human-Like. Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP 2022), pp. 10421–10436, December 2022. paper
• Yunmeng Li, Jun Suzuki, Makoto Morishita, Kaori Abe, Ryoko Tokuhisa, Ana Brassard, Kentaro Inui. Chat Translation Error Detection for Assisting Cross-lingual Communications. Proceedings of the 3rd Workshop on Evaluation & Comparison of NLP Systems (Eval4NLP 2022), pp.88–95, November 2022. paper
• Yuta Matsumoto, Benjamin Heinzerling, Masashi Yoshikawa, Kentaro Inui. Tracing and Manipulating Intermediate Results in Neural Math Problem Solvers. Proceedings of the 2022 Conference on AACL-IJCNLP Student Research Workshop (AACL-IJCNLP SRW 2022), pp. 1-6, November 2022. paper
• Yosuke Kishinami, Reina Akama, Shiki Sato, Ryoko Tokuhisa, Jun Suzuki, Kentaro Inui. Target-Guided Open-Domain Conversation Planning.
• Riki Fujihara, Tatsuki Kuribayashi, Kaori Abe, Ryoko Tokuhisa, Kentaro Inui. Topicalization in Language Models A Case Study on Japanese. Proceedings of the 29th International Conference on Computational Linguistics (COLING 2022), pp.851–862, October 2022. paper
• Shuhei Kurita, Hiroki Ouchi, Kentaro Inui, Satoshi Sekine. Iterative Span Selection: Self-Emergence of Resolving Orders in Semantic Role Labeling. Proceedings of the 29th International Conference on Computational Linguistics (COLING 2022), pp.5383–5397, October 2022. paper
• Jungmin Choi, Ukyo Honda, Taro Watanabe, Kentaro Inui, Hiroki Ouchi. Law Retrieval with Supervised Contrastive Learning Using the Hierarchical Structure of Law. Proceeding of the 36th Pacific Asia Conference on Language, Information and Computation (PACLIC 2022), October 2022. paper
• Shiki Sato, Reina Akama, Hiroki Ouchi, Ryoko Tokuhisa, Jun Suzuki, Kentaro Inui. N-best Response-based Analysis of Contradiction-awareness in Neural Response Generation Models.
• Hiroaki Funayama, Tasuku Sato, Yuichiroh Matsubayashi, Tomoya Mizumoto, Jun Suzuki, Kentaro Inui. Balancing Cost and Quality: An Exploration of Human-in-the-loop Frameworks for Automated Short Answer Scoring. Proceedings of the 23rd AIED Conference, pp.465-476, July 2022.
• Tasuku Sato, Hiroaki Funayama, Kazuaki Hanawa, Kentaro Inui. Generating Feature Attribution-based Explanations for Automated Short Answer Scoring. Proceedings of the 23rd AIED Conference, pp.231-242, July 2022. paper
• Sosuke Kobayashi, Shun Kiyono, Jun Suzuki, Kentaro Inui. Diverse Lottery Tickets Boost Ensemble from a Single Pretrained Model. Workshop of Challenges & Perspectives in Creating Large Language Models (BigScience), pp.42–50, May 2022. paper
• Shoichi Naito, Shintaro Sawada, Chihiro Nakagawa, Naoya Inoue, Kenshi Yamaguchi, Iori Shimizu, Farjana Sultana Mim, Keshav Singh, Kentaro Inui. TYPIC: A Corpus of Template-Based Diagnostic Comments on Argumentation.
• Farjana Sultana Mim, Naoya Inoue, Shoichi Naito, Keshav Singh, Kentaro Inui. LPAttack: A Feasible Annotation Scheme for Capturing Logic Pattern of Attacks in Arguments. Proceedings of the 13th International Conference on the Language Resources and Evaluation Conference (LREC 2022), 2446–2459, June 2022.
• Ana Brassard, Benjamin Heinzerling, Pride Kavumba, Kentaro Inui. COPA-SSE: Semi-structured Explanations for Commonsense Reasoning. Proceedings of the 13th International Conference on the Language Resources and Evaluation Conference (LREC 2022), 3994-4000, June 2022. paper
• Keshav Singh, Naoya Inoue, Farjana Sultana Mim, Shoichi Naito, Kentaro Inui. IRAC: A Domain-specific Annotated Corpus of Implicit Reasoning in Arguments. Proceedings of the 13th International Conference on the Language Resources and Evaluation Conference (LREC 2022), pp. 4674–4683, June 2022.
• Kazuaki Hanawa, Ryo Nagata, Kentaro Inui. Exploring Methods for Generating Feedback Comments for Writing Learning. Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP 2021), pp.9719–9730, November 2021. paper
• Shun Kiyono, Sosuke Kobayashi, Jun Suzuki, Kentaro Inui. Shifted Absolute Position Embeddings for Transformers. Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP 2021), pp.3309–3321, November 2021. paper
• Ryuto Konno, Shun Kiyono, Yuichiroh Matsubayashi, Hiroki Ouchi, Kentaro Inui. Pseudo Zero Pronoun Resolution Improves Zero Anaphora Resolution. Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP 2021), pp.3790–3806, November 2021. paper
• Keshav Singh, Farjana Sultana Mim, Naoya Inoue, Shoichi Naito, Kentaro Inui. Exploring Methodologies for Collecting High-Quality Implicit Reasoning in Arguments. Proceedings of the 8th Workshop on Argument Mining (EMNLP 2021), 57–66, November 2021. paper
• Goro Kobayashi, Tatsuki Kuribayashi, Sho Yokoi, Kentaro Inui. Incorporating Residual and Normalization Layers into Analysis of Masked Language Models. Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP 2021), pp.4547–4568, November 2021. paper
• Naoya Inoue, Harsh Trivedi, Steven Sinha, Niranjan Balasubramanian, Kentaro Inui. Summarize-then-Answer: Generating Concise Explanations for Multi-hop Reading Comprehension. Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP 2021), pp.6064–6080, November 2021. paper
• Kosuke Yamada, Yuta Hitomi, Hideaki Tamori, Ryohei Sasano, Naoaki Okazaki, Kentaro Inui, Koichi Takeda. Transformer-based Lexically Constrained Headline Generation. Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP 2021), pp.4085–4090, November 2021. paper
• Ana Brassard, Benjamin Heinzerling, Pride Kavumba, Kentaro Inui. COPA-SSE: Semi-Structured Explanations for Commonsense Reasoning.
• Keshav Singh, Naoya Inoue, Farjana Sultana Mim, Shoichi Naitoh, Kentaro Inui. Annotating implicit reasoning in arguments with causal links. Workshop on Argumentation Knowledge Graphs (ArgKG), October 2021. paper
• Tatsuki Kuribayashi, Yohei Oseki, Takumi Ito, Ryo Yoshida, Masayuki Asahara, Kentaro Inui. Lower Perplexity is Not Always Human-Like. 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. paper
• Hitomi Yanaka, Koji Mineshima, Kentaro Inui. SyGNS: A Systematic Generalization Testbed Based on Natural Language Semantics. Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021, pp. 103–119, August 2021.
• Riki Fujihara, Tatsuki Kuribayashi, Kaori Abe, Kentaro Inui. Topicalization in Language Models: A Case Study on Japanese. 2021 ACL Student Research Workshop, Non-archival submission, August 2021.
• Pride Kavumba, Benjamin Heinzerling, Ana Brassard, Kentaro Inui. Learning to Learn to be Right for the Right Reasons. 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. paper
• Hitomi Yanaka, Koji Mineshima, Kentaro Inui. Exploring Transitivity in Neural NLI Models through Veridicality. Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics (EACL), pp.920–934, April 2021. paper
• Benjamin Heinzerling, Kentaro Inui. Language Models as Knowledge Bases: On Entity Representations, Storage Capacity, and Paraphrased Queries.
• Qin Dai, Naoya Inoue, Ryo Takahashi, Kentaro Inui. Two Training Strategies for Improving Relation Extraction over Universal Graph. Proceedings of the 16th EACL, pp.3673–3684, April 2021. paper
• Sosuke Kobayashi, Sho Yokoi, Jun Suzuki, Kentaro Inui. Efficient Estimation of Influence of a Training Instance. Proceedings of EMNLP 2020 Workshop Workshop on Simple and Efficient Natural Language Processing (SustaiNLP), pp.41–47, November 2020. paper
• Sho Yokoi, Ryo Takahashi, Reina Akama, Jun Suzuki, Kentaro Inui. Word Rotator’s Distance. Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP 2020), pp.2944–2960, November 2020. paper
• Reina Akama, Sho Yokoi, Jun Suzuki, Kentaro Inui. Filtering Noisy Dialogue Corpora by Connectivity and Content Relatedness. Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP 2020), pp.941–958, November 2020. paper
• Goro Kobayashi, Tatsuki Kuribayashi, Sho Yokoi, Kentaro Inui.
• Masato Mita, Shun Kiyono, Masahiro Kaneko, Jun Suzuki, Kentaro Inui. A Self-Refinement Strategy for Noise Reduction in Grammatical Error Correction. Findings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP 2020), pp.267–280, November 2020. paper
• Takumi Ito, Tatsuki Kuribayashi, Masatoshi Hidaka, Jun Suzuki, Kentaro Inui. Takumi Ito, Tatsuki Kuribayashi, Masatoshi Hidaka, Jun Suzuki, Kentaro Inui.
• Ryo Fujii, Masato Mita, Kaori Abe, Kazuaki Hanawa, Makoto Morishita, Jun Suzuki, Kentaro Inui. PheMT: A Phenomenon-wise Dataset for Machine Translation Robustness on User-Generated Contents. Proceedings of the 28th International Conference on Computational Linguistics (COLING 2020), pp.5929–5943, December 2020. paper
• Ryuto Konno, Yuichiroh Matsubayashi, Shun Kiyono, Hiroki Ouchi, Ryo Takahashi, Kentaro Inui. An Empirical Study of Contextual Data Augmentation for Japanese Zero Anaphora Resolution. Proceedings of the 28th International Conference on Computational Linguistics (COLING 2020), pp. 4956–4968, December 2020. paper
• Takaki Otake, Sho Yokoi, Naoya Inoue, Ryo Takahashi, Tatsuki Kuribayashi, Kentaro Inui. Modeling Event Salience in Narratives via Barthes’ Cardinal Functions.
• Hiroaki Funayama, Shota Sasaki, Yuichiroh Matsubayashi, Tomoya Mizumoto, Jun Suzuki, Masato Mita, Kentaro Inui. Preventing Critical Scoring Errors in Short Answer Scoring with Confidence Estimation. Proceedings of the 2020 ACL Student Research Workshop (2020 ACL SRW), pp.237–243, July 2020. paper
• Takuma Kato, Kaori Abe, Hiroki Ouchi, Shumpei Miyawaki, Jun Suzuki, Kentaro Inui. Embeddings of Label Components for Sequence Labeling: A Case Study of Fine-grained Named Entity Recognition.
• Goro Kobayashi, Tatsuki Kuribayashi, Sho Yokoi, Kentaro Inui. Self-Attention is Not Only a Weight: Analyzing BERT with Vector Norms. 2020 ACL Student Research Workshop (2020 ACL SRW), pp.222–229, July 2020. paper
• Naoya Inoue, Pontus Stenetorp, Kentaro Inui. R4C: A Benchmark for Evaluating RC Systems to Get the Right Answer for the Right Reason. Proceedings of the 58th annual meeting of the Association for Computational Linguistics (ACL 2020), 2020.
• Hiroki Ouchi, Jun Suzuki, Sosuke Kobayashi, Sho Yokoi, Tatsuki Kuribayashi, Ryuto Konno, Kentaro Inui. Instance-based Learning of Span Representations: A Case Study through Named Entity Recognition. Proceedings of the 58th annual meeting of the Association for Computational Linguistics (ACL 2020), pp.6452–6459, July 2020. paper
• Tatsuki Kuribayashi, Takumi Ito, Jun Suzuki, Kentaro Inui. Language Models as an Alternative Evaluator of Word Order Hypotheses: A Case Study in Japanese. Proceedings of the 58th annual meeting of the Association for Computational Linguistics (ACL 2020), pp.488–504, July 2020. paper
• Shiki Sato, Reina Akama, Hiroki Ouchi, Jun Suzuki, Kentaro Inui. Evaluating Dialogue Generation Systems via Response Selection. Proceedings of the 58th annual meeting of the Association for Computational Linguistics (ACL 2020), pp.593–599, July 2020. paper
• Hitomi Yanaka, Koji Mineshima, Daisuke Bekki, Kentaro Inui. Do Neural Models Learn Systematicity of Monotonicity Inference in Natural Language?. Proceedings of the 58th annual meeting of the Association for Computational Linguistics (ACL 2020), pp.6105-6117, July 2020. paper
• Ryo Nagata, Kentaro Inui, Shin’ichiro Ishikawa. Creating Corpora for Research in Feedback Comment Generation. Proceedings of the 12th LREC 2020, May 2020.
• Saku Sugawara, Pontus Stenetorp, Kentaro Inui, Akiko Aizawa. Assessing the Benchmarking Capacity of Machine Reading Comprehension Datasets. Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, pp.8918-8927, February 2020.
• Keshav Singh, Paul Reisert, Naoya Inoue, Pride Kavumba, Kentaro Inui. Improving Evidence Detection by Leveraging Warrants. Proceedings of FEVER: The Second Workshop on Fact Extraction and Verification, pp. 57–62, November 2019. paper
• Tianqi Wang, Naoya Inoue, Hiroki Ouchi, Tomoya Mizumoto, 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. paper
• Pride Kavumba, Naoya Inoue, Benjamin Heinzerling, Keshav Singh, Paul Reisert, Kentaro Inui. When Choosing Plausible Alternatives, Clever Hans can be Clever.
• Shun Kiyono, Jun Suzuki, Masato Mita, Tomoya Mizumoto, Kentaro Inui. An Empirical Study of Incorporating Pseudo Data into Grammatical Error Correction. 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. paper
• Xiaoyu Shen, Jun Suzuki, Kentaro Inui, Hui Su, Dietrich Klakow, Satoshi Sekine. Select and Attend: Towards Controllable Content Selection in Text Generation. 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. paper
• Masato Hagiwara, Takumi Ito, Tatsuki Kuribayashi, Jun Suzuki, Kentaro Inui. TEASPN: Framework and Protocol for Integrated Writing Assistance Environments. 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. paper
• Takumi Ito, Tatsuki Kuribayashi, Hayato Kobayashi, Ana Brassard, Masato Hagiwara, Jun Suzuki, Kentaro Inui. Diamonds in the Rough: Generating Fluent Sentences from Early-stage Drafts for Academic Writing Assistance. Proceedings of the 12th International Conference on Natural Language Generation (INLG 2019), pp. 40–53, October 2019. paper
• 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. Proceedings of the 12th International Conference on Natural Language Generation (INLG 2019), pp. 333–343, November 2019. paper
• Qin Dai, Naoya Inoue, Paul Reisert, Ryo Takahashi, Kentaro Inui. Incorporating Chains of Reasoning over Knowledge Graph for Distantly Supervised Biomedical Knowledge Acquisition. Proceedings of the 33rd Pacific Asia Conference on Language, Information and Computation (PACLIC 33), pp. 19-28, September 2019. paper
• Tatsuki Kuribayashi, Hiroki Ouchi, Naoya Inoue, Paul Reisert, Toshinori Miyoshi, Jun Suzuki, Kentaro Inui. An Empirical Study of Span Representations in Argumentation Structure Parsing. Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics (ACL 2019), pp. 4691-4698, July 2019. paper
• Farjana Sultana Mim, Naoya Inoue, Paul Reisert, Hiroki Ouchi, Kentaro Inui. Unsupervised Learning of Discourse-Aware Text Representation for Essay Scoring. Proceedings of the 57th ACL: Student Research Workshop (ACL SRW 2019), pp. 378–385, July 2019. paper
• Hitomi Yanaka, Koji Mineshima, Daisuke Bekki, Kentaro Inui, Satoshi Sekine, Lasha Abzianidze, Johan Bos. Can neural networks understand monotonicity reasoning?. Proceedings of ACL2019 Workshop on Analyzing and interpreting neural networks for NLP (BlackboxNLP2019), pp. 31-40, July 2019. paper
• Paul Reisert, Gisela Vallejo, Naoya Inoue, Iryna Gurevych, Kentaro Inui. An Annotation Protocol for Collecting User-Generated Counter-Arguments using Crowdsourcing.
• Hitomi Yanaka, Koji Mineshima, Daisuke Bekki, Kentaro Inui, Satoshi Sekine, Lasha Abzianidze, Johan Bos. HELP: A Dataset for Identifying Shortcomings of Neural Models in Monotonicity Reasoning. Proceedings of the 8th Joint Conference on Lexical and Computational Semantics (*SEM), pp. 250-255, June 2019. paper
• Kazuaki Hanawa, Shota Sasaki, Hiroki Ouchi, Jun Suzuki, Kentaro Inui. The Sally Smedley Hyperpartisan News Detector at SemEval-2019 Task 4. SemEval-2019, 2019.
• Shota Sasaki, Jun Suzuki, 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. paper
• 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?. 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. paper
• Yasutomo Kimura, Hideyuki Shibuki, Hokuto Ototake, Yuzu Uchida, Keiichi Takamaru, Kotaro Sakamoto, Madoka Ishioroshi, Teruko Mitamura, Noriko Kando, Tatsunori Mori, Harumichi Yuasa, Satoshi Sekine, Kentaro Inui. Overview of the NTCIR-14 QA Lab-PoliInfo Task. Proceedings of the 14th NTCIR Conference, pp. 121-140, June 2019.
• Qin Dai, Naoya Inoue, Paul Reisert, Ryo Takahashi, Kentaro Inui. Distantly Supervised Biomedical Knowledge Acquisition via Knowledge Graph Based Attention. Proceedings of the Workshop on Extracting Structured Knowledge from Scientific Publications, pp.1–10, June 2019. paper
• Shun Kiyono, Jun Suzuki, Kentaro Inui. Mixture of Expert/Imitator Networks: Scalable Semi-supervised Learning Framework. Proceedings of The Thirty-Third AAAI Conference on Artificial Intelligence (AAAI-19), pp.4073-4081, January 2019. paper
• Qin Dai, Naoya Inoue, Paul Reisert, Kentaro Inui. Improving Scientific Relation Classification with Task Specific Supersense. Proceedings of the 32nd Pacific Asia Conference on Language, Information and Computing (PACLIC32), pp.129-138, December 2018. paper
• Shun Kiyono, Sho Takase, Jun Suzuki, Naoaki Okazaki, Kentaro Inui, Masaaki Nagata. Reducing Odd Generation from Neural Headline Generation. Proceedings of the 32nd Pacific Asia Conference on Language, Information and Computation (PACLIC32), pp.290-303, December 2018. paper
• Tsubasa Tagami, Hiroki Ouchi, Hiroki Asano, Kazuaki Hanawa, Kaori Uchiyama, Kaito Suzuki, Kentaro Inui, Atsushi Komiya, Atsuo Fujimura, Ryo Yamashita, Hitofumi Yanai, Akinori Machino. Suspicious News Detection Using Micro Blog Text. Proceedings of the 32nd PACLIC, pp.648-657, December 2018. paper
• Kaori Abe, Yuichiroh Matsubayashi, Naoaki Okazaki, Kentaro Inui. Multi-dialect Neural Machine Translation and Dialectometry. Proceedings of the 32nd PACLIC, pp.1-10, December 2018.
• Qin Dai, Naoya Inoue, Paul Reisert, Kentaro Inui. Scientific Knowledge Acquisition via the Interaction between Relation Extraction and Knowledge Graph Completion. Proceedings of Third International Workshop on SCIentific DOCument Analysis (SCIDOCA), November 2018.
• Saku Sugawara, Kentaro Inui, Satoshi Sekine, Akiko Aizawa. What Makes Reading Comprehension Questions Easier?. Proceedings of the 2018 EMNLP, pp.4208-4219, November 2018. paper
• Sho Yokoi, Sosuke Kobayashi, Kenji Fukumizu, Jun Suzuki, Kentaro Inui. Pointwise HSIC: A Linear-Time Kernelized Co-occurrence Norm for Sparse Linguistic Expressions. Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing (EMNLP 2018), pp.1763-1775, November 2018. paper
• Paul Reisert, Naoya Inoue, Tatsuki Kuribayashi, Kentaro Inui. Feasible Annotation Scheme for Capturing Policy Argument Reasoning using Argument Templates. Proceedings of The 5th Workshop on Argument Mining, pp.79-89, November 2018. paper
• Diana Galvan, Naoaki Okazaki, Koji Matsuda, Kentaro Inui. Investigating the Challenges of Temporal Relation Extraction from Clinical Text. Proceedings of the Ninth International Workshop on Health Text Mining and Information Analysis (LOUHI 2018), pp.55-64, October 2018. paper
• Shun Kiyono, Sho Takase, Jun Suzuki, Naoaki Okazaki, Kentaro Inui, Masaaki Nagata. Unsupervised Token-wise Alignment to Improve Interpretation of Encoder-Decoder Models. Proceedings of the 2018 EMNLP Workshop BlackboxNLP, pp.74-81, October 2018. paper
• Yuichiroh Matsubayashi, Kentaro Inui. Distance-Free Modeling of Multi-Predicate Interactions in End-to-End Japanese Predicate-Argument Structure Analysis. Proceedings of the 27th International Conference on Computational Linguistics (COLING 2018), pp.94-106, August 2018. paper
• Ryo Takahashi, Ran Tian, Kentaro Inui. Interpretable and Compositional Relation Learning by Joint Training with an Autoencoder. Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (ACL 2018), pp.2148-2159, July 2018. paper
• Shota Sasaki, Shuo Sun, Shigehiko Schamoni, Kevin Duh, Kentaro Inui. Cross-lingual Learning-to-Rank with Shared Representations.
• Kento Watanabe, Yuichiroh Matsubayashi, Satoru Fukayama, Masataka Goto, Kentaro Inui, Tomoyasu Nakano. A Melody-conditioned Lyrics Language Model. 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. paper
• Sosuke Kobayashi, Naoaki Okazaki, Kentaro Inui. A Neural Language Model for Dynamically Representing the Meanings of Unknown Words and Entities in a Discourse. Proceedings of the 8th International Joint Conference on Natural Language Processing (IJCNLP), pp.473-483, November 2017. paper
• Hiroki Asano, Tomoya Mizumoto, Kentaro Inui. Reference-based Metrics can be Replaced with Reference-less Metrics in Evaluating Grammatical Error Correction Systems. Proceedings of the 8th International Joint Conference on Natural Language Processing (IJCNLP), pp.343-348, November 2017. paper
• Reina Akama, Kazuaki Inada, Naoya Inoue, Sosuke Kobayashi, Kentaro Inui. Generating Stylistically Consistent Dialog Responses with Transfer Learning. Proceedings of the 8th International Joint Conference on Natural Language Processing (IJCNLP), pp.408-412, November 2017. paper
• Yuta Hitomi, Hideaki Tamori, Naoaki Okazaki, Kentaro Inui. Proofread Sentence Generation as Multi-Task Learning with Edit Operation Prediction. Proceedings of the 8th International Joint Conference on Natural Language Processing (IJCNLP), pp. 436-441, November 2017.
• Kazuaki Hanawa, Akira Sasaki, Naoaki Okazaki, Kentaro Inui. A Crowdsourcing Approach for Annotating Causal Relation Instances in Wikipedia. Proceedings of the 31st Pacific Asia Conference on Language, Information and Computation (PACLIC), pp.336-345, November 2017. paper
• Shota Sasaki, Sho Takase, Naoya Inoue, Naoaki Okazaki, Kentaro Inui. Handling Multiword Expressions in Causality Estimation.
• Hideaki Tamori, Yuta Hitomi, Naoaki Okazaki, Kentaro Inui. Analyzing the Revision Logs of a Japanese Newspaper for Article Quality Assessment. Proceedings of the 2017 EMNLP Workshop: Natural Language Processing meets Journalism, pp.46-50, September 2017. paper
• Taku Nakamura, Rafal Rzepka, Kenji Araki, Kentaro Inui. Be More Eloquent, Professor ELIZA – Comparison of Utterance Generation Methods for Artificial Second Language Tutor. Proceedings of Linguistic and Cognitive Approaches to Dialog Agents (LaCATODA 2017), pp.34–41, August 2017. paper
• Sho Yokoi, Daichi Mochihashi, Ryo Takahashi, Naoaki Okazaki, Kentaro Inui. Learning Co-Substructures by Kernel Dependence Maximization. Proceedings of the 26th International Joint Conference on Artificial Intelligence (IJCAI 2017), pp.3329-3335.
• Akira Sasaki, Kazuaki Hanawa, Naoaki Okazaki, Kentaro Inui. Other Topics You May Also Agree or Disagree: Modeling Inter-Topic Preferences using Tweets and Matrix Factorization. Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (ACL 2017), pp. 398-408, August 2017. paper
• Koji Matsuda, Mizuki Sango, Naoaki Okazaki, Kentaro Inui. Monitoring Geographical Entities with Temporal Awareness in Tweets. Proceedings of 18th International Conference on Computational Linguistics and Intelligent Text Processing (CICLING), 12 pages, April 2017. paper
• Paul Reisert, Naoya Inoue, Naoaki Okazaki, Kentaro Inui. Identifying and Ranking Relevant Claims for Decision Support. Proceedings of 18th International Conference on Computational Linguistics and Intelligent Text Processing (CICLING), April 2017.
• Sonse Shimaoka, Pontus Stenetorp, Kentaro Inui, Sebastian Riedel. Neural Architectures for Fine-grained Entity Type Classification. Proceedings of the 15th EACL, pp.1271-1280, April 2017. paper
• Kento Watanabe, Yuichiroh Matsubayashi, Kentaro Inui, Tomoyasu Nakano, Satoru Fukayama, Masataka Goto. LyriSys: An Interactive Support System for Writing Lyrics Based on Topic Transition. Proceedings of the 22nd ACM IUI, pp.559—563, March 2017. paper
• Naoya Inoue, Yuichiro Matsubayashi, Masayuki Ono, Naoaki Okazaki, Kentaro Inui. Modeling Context-sensitive Selectional Preference with Distributed Representations. Proceedings of the 26th International Conference on Computational Linguistics (COLING 2016), pp. 2829-2838, December 2016. paper
• Kento Watanabe, Yuichiroh Matsubayashi, Naho Orita, Naoaki Okazaki, Kentaro Inui, Satoru Fukayama, Tomoyasu Nakano, Jordan B. L. Smith, Masataka Goto. Modeling Discourse Segments in Lyrics Using Repeated Patterns. Proceedings of the 26th International Conference on Computational Linguistics (COLING 2016), December 2016.
• Yusuke Hara, Koji Matsuda, Masao Kuwahara, Naoaki Okazaki, Kentaro Inui. Traffic State Estimation and Cause and Effect Understanding by Probe Data and Social Media Data. Proceedings of the 21st International Conference of Hong Kong Society for Transportation Studies, Smart Transportation, December 2016.
• Takuya Yashima, Naoaki Okazaki, Kentaro Inui, Kota Yamaguchi, Takayuki Okatani. Learning to Describe E-Commerce Images from Noisy Online Data. Proceedings of the 13th Asian Conference on Computer Vision (ACCV 2016), 16 pages, November 2016.
• Masayasu Muraoka, Sumit Maharjan, Masaki Saito, Kota Yamaguchi, Naoaki Okazaki, Takayuki Okatani, Kentaro Inui. Recognizing Open-vocabulary Relations between Objects in Images. Proceedings of the 30th Pacific Asia Conference on Language, Information and Computation (PACLIC 30), pp. 339-248, October 2016.
• Shuangshuang Zhou, Koji Matsuda, Ran Tian, Naoaki Okazaki, Kentaro Inui. A Pipeline Japanese Entity Linking System with Embedding Features. Proceedings of the 30th Pacific Asia Conference on Language, Information and Computation (PACLIC 30), pp. 267-276, October 2016.
• Mei Uemura, Naho Orita, Naoaki Okazaki, Kentaro Inui. Toward the automatic extraction of knowledge of usable goods.
• Masatoshi Suzuki, Koji Matsuda, Satoshi Sekine, Naoaki Okazaki, Kentaro Inui. Neural Joint Learning for Classifying Wikipedia Articles into Fine-grained Named Entity Types. Proceedings of the 30th Pacific Asia Conference on Language, Information and Computation (PACLIC 30), pp. 535-544, October 2016.
• Masatoshi Suzuki, Koji Matuda, Satoshi Sekine, Naoaki Okazaki, Kentaro Inui. Fine-Grained Named Entity Classification with Wikipedia Article Vectors. Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence, pp. 483-486, October 2016. paper
• Akira Sasaki, Junta Mizuno, Naoaki Okazaki, Kentaro Inui. Stance Classification by Recognizing Related Events about Targets. Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence, pp. 582-587, October 2016.
• Sho Takase, Naoaki Okazaki, Kentaro Inui. Composing Distributed Representations of Relational Patterns. Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (ACL 2016), pp. 2276-2286, August 2016.
• Ran Tian, Naoaki Okazaki, Kentaro Inui. Learning Semantically and Additively Compositional Distributional Representations. Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (ACL 2016), pp. 1277–1287, August 2016.
• Davaajav Jargalsaikhan, Naoaki Okazaki, Koji Matsuda, Kentaro Inui. Building a Corpus for Japanese Wikification with Fine-Grained Entity Classes. Proceedings of the ACL-2016 Student Research Workshop, pp. 138-144, August 2016.
• Yuki Igarashi, Hiroya Komatsu, Sosuke Kobayashi, Naoaki Okazaki, Kentaro Inui. Tohoku at SemEval-2016 Task 6: Feature-based Model versus Convolutional Neural Network for Stance Detection. Proceedings of the 10th International Workshop on Semantic Evaluation (SemEval), pp.413-419, June 2016.
• Sonse Shimaoka, Pontus Stenetorp, Kentaro Inui, Sebastian Riedel. An Attentive Neural Architecture for Fine-grained Entity Type Classification. Proceedings of the 5th Workshop on Automated Knowledge Base Construction, pp. 69-74, June 2016.
• Sosuke Kobayashi, Ran Tian, Naoaki Okazaki, Kentaro Inui. Dynamic Entity Representation with Max-pooling Improves Machine Reading. Proceedings of the North American Chapter of the Association for Computational Linguistics and Human Language Technologies (NAACL-HLT 2016), pp.850-855, June 2016.
• Corentin Dumont, Ran Tian, Kentaro Inui. Question-Answering with Logic Specific to Video Games. Proceedings of the 10th LREC, pp. 4637-4643, May 2016.
• Sho Takase, Naoaki Okazaki, Kentaro Inui. Fast and Large-scale Unsupervised Relation Extraction. Proceedings of the 29th Pacific Asia Conference on Language, Information and Computation (PACLIC-29), pp. 96-105, October 2015. paper
• Hiroya Komatsu, Ran Tian, Naoaki Okazaki, Kentaro Inui. Reducing Lexical features in Parsing by Word Embeddings. Proceedings of the 29th Pacific Asia Conference on Language, Information and Computation (PACLIC-29), pp.106-113, October 2015. paper
• Naoya Inoue, Yasutaka Kuriya, Sosuke Kobayashi, Kentaro Inui. Recognizing potential traffic risks through logic-based deep scene understanding.
• Yudai Kamioka, Kazuya Narita, Junta Mizuno, Miwa Kanno, Kentaro Inui. Semantic Annotation of Japanese Functional Expressions and its Impact on Factuality Analysis. Proceedings of the 9th Linguistic Annotation Workshop (LAW IX 2015), pp. 52–61, June 2015. paper
• Koji Matsuda, Akira Sasaki, Naoaki Okazaki, Kentaro Inui. Annotating Geographical Entities on Microblog Text. Proceedings of the 9th Linguistic Annotation Workshop (LAW IX 2015), pp. 85–94, June 2015. paper
• Toshihiko Yanase, Toshinori Miyoshi, Kohsuke Yanai, Misa Sato, Makoto Iwayama, Yoshiki Niwa, Paul Reisert, Kentaro Inui. Learning Sentence Ordering for Opinion Generation of Debate. Proceedings of the 2nd Workshop on Argumentation Mining, pp.94–103, June 2015. paper
• Canasai Kruengkrai, Naoya Inoue, Jun Sugiura, Kentaro Inui. An Example-Based Approach to Difficult Pronoun Resolution. Proceedings of the 28th Pacific Asia Conference on Language, Information and Computing (PACLIC), pp.358-367, December 2014.
• Kento Watanabe, Yuichiroh Matsubayashi, Kentaro Inui, Masataka Goto. Modeling Structural Topic Transitions for Automatic Lyrics Generation.
• Masayasu Muraoka, Sonse Shimaoka, Kazeto Yamamoto, Yotaro Watanabe, Naoaki Okazaki, Kentaro Inui. Finding The Best Model Among Representative Compositional Models. Proceedings of the 28th Pacific Asia Conference on Language, Information and Computing (PACLIC), pp.65-74, December 2014. paper
• Shuangshuang Zhou, Canasai Kruengkrai, Naoaki Okazaki, Kentaro Inui. Using a Broad Range of Linguistic Features in Entity Discovery and Linking. Proceedings of Text Analysis Conference 2014 (TAC 2014), November 2014.
• Paul Reisert, Junta Mizuno, Miwa Kanno, Naoaki Okazaki, Kentaro Inui. A Corpus Study for Identifying Evidence on Microblogs. Proceedings of the 8th Linguistic Annotation Workshop (LAW VIII 2014), pp.70-74, August 2014. paper
• Keita Nabeshima, Junta Mizuno, Naoaki Okazaki, Kentaro Inui. Mining False Information on Twitter for a Major Disaster Situation. Proceedings of the 2014 International Conference on Active Media Technology (AMT2014), pp.96-109 (DOI: 10.1007/978-3-319-09912-5_9), August 2014. paper
• Kazuya Narita, Junta Mizuno, Kentaro Inui. A Lexicon-based Investigation of Research Issues in Japanese Factuality Analysis. Proceedings of the 6th International Joint Conference on Natural Language Processing (IJCNLP 2013), pp. 587-595, October 2013. paper
• Naoaki Okazaki, Keita Nabeshima, Kento Watanabe, Junta Mizuno, Kentaro Inui. Extracting and Aggregating False Information from Microblogs. Proceedings of the Workshop on Language Processing and Crisis Information 2013 (LPCI 2013), pp.36-43, October 2013. paper
• Yotaro Watanabe, Kentaro Inui, Shingo Suzuki, Hiroko Koumoto, Mitsuhiro Higashida, Yuji Maeda, Katsumi Iwatasuki. Computer-assisted Structuring of Emergency Management Information: A Project Note. Proceedings of the Workshop on Language Processing and Crisis Information 2013 (LPCI 2013), pp.10-18, October 2013. paper
• Jun Sugiura, Naoya Inoue, Kentaro Inui. Recognizing Implicit Discourse Relations through Abductive Reasoning with Large-scale Lexical Knowledge. Proceedings of the 1st Workshop on Natural Language Processing and Automated Reasoning (NLPAR), pp.76-87, September 2013. paper
• Sho Takase, Akiko Murakami, Miki Enoki, Naoaki Okazaki, Kentaro Inui. Detecting Chronic Critics Based on Sentiment Polarity and User’s Behavior in Social Media. Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics Proceedings of the Student Research Workshop, pp.110-116, August 2013. paper
• Katsuma Narisawa, Yotaro Watanabe, Junta Mizuno, Naoaki Okazaki, Kentaro Inui. Is a 204 cm Man Tall or Small? Acquisition of Numerical Common Sense from the Web. Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics (ACL 2013), 2013.
• Yotaro Watanabe, Junta Mizuno, Kentaro Inui. THK’s Natural Logic-based Compositional Textual Entailment Model at NTCIR-10 RITE-2. NTCIR-10 RITE-2.
• Junta Mizuno, Kentaro Inui, Asuka Sumida, Gen Hattori, Chihiro Ono. TKDDI group at NTCIR10-RITE2: Recognizing Texual Entailment Based on Dependency Structure Alignment. Proceedings of the 10th NTCIR Conference, pp.553-559, June 2013. paper
• Jiro Umezawa, Junta Mizuno, Naoaki Okazaki, Kentaro Inui. Evidence in Automatic Error Correction Improves Learners’ English Skill. Proceedings of the 14th International Conference on Intelligent Text Processing and Computational Linguistics (CICLing 2013), pp.559-571, March 2013. paper
• Kazeto Yamamoto, Naoya Inoue, Yotaro Watanabe, Naoaki Okazaki, Kentaro Inui. Discriminative Learning of First-order Weighted Abduction from Partial Discourse Explanations. Proceedings of the 14th International Conference on Intelligent Text Processing and Computational Linguistics (CICLing 2013), pp.545-558, March 2013. paper
• Junta Mizuno, Eric Nichols, Yotaro Watanabe, Kentaro Inui. Organizing Information on the Web through Agreement-Conflict Relation Classification. Proceedings of the Eighth Asia Information Retrieval Societies Conference (AIRS 2012), pp.126-137, December 2012. paper
• Naoya Inoue, Ekaterina Ovchinnikova, Kentaro Inui, Jerry R. Hobbs. Coreference Resolution with ILP-based Weighted Abduction. Proceedings of the 24th International Conference on Computational Linguistics (COLING 2012): Technical Papers, pp.1291–1308, December 2012. paper
• Yotaro Watanabe, Junta Mizuno, Eric Nichols, Naoaki Okazaki, Kentaro Inui. A Latent Discriminative Model for Compositional Entailment Relation Recognition Using Natural Logic. Proceedings of the 24th International Conference on Computational Linguistics (COLING 2012): Technical Papers, pp. 2805-2820, December 2012. paper
• Sho Takase, Naoaki Okazaki, Kentaro Inui. Set Expansion using Sibling Relations between Semantic Categories. Proceedings of the 26th Pacific Asia Conference on Language Information and Computing, pp. 525-534, November 2012. paper
• Naoya Inoue, Kentaro Inui. Large-scale Cost-based Abduction in Full-fledged First-order Predicate Logic with Cutting Plane Inference. Proceedings of the 13th European Conference on Logics in Artificial Intelligence, pp. 281-293, September 2012.
• Yotaro Watanabe, Junta Mizuno, Eric Nichols, Katsuma Narisawa, Keita Nabeshima, 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. paper
• Yutaka I. Leon-Suematsu, Kentaro Inui, Sadao Kurohashi, Yutaka Kidawara. Web Spam Detection by Exploring Densely Connected Subgraphs. Proceedings of the 2011 IEEE/WIC/ACM International Conference on Web Intelligence, pp.124-129, August 2011.
• Naoya Inoue, Kentaro Inui. ILP-based Reasoning for Weighted Abduction. Proceedings of AAAI Workshop on Plan, Activity and Intent Recognition, August 2011. paper
• Hiram Calvo, Kentaro Inui, Yuji Matsumoto. Co-related Verb Argument Selectional Preferences. Proceedings of the 12th International Conference on Intelligent Text Processing and Computational Linguistics (CICLing), pp. 133-143, 2011.
• Hiram Calvo, Omar J. Gambino, Alexander Gelbukh, Kentaro Inui. Dependency Syntax Analysis Using Grammar Induction and a Lexical Categories Precedence System. Proceedings of the 12th International Conference on Intelligent Text Processing and Computational Linguistics (CICLing), pp. 109-120, 2011.
• Megumi Ohki, Eric Nichols, Suguru Matsuyoshi, Koji Murakami, Junta Mizuno, Shouko Masuda, Kentaro Inui, Yuji Matsumoto. Recognizing Confinement in Web Texts. Proceedings of the 9th International Conference on Computational Semantics (IWCS 2011), pp. 215-224, 2011.
• Koji Murakami, Eric Nichols, Junta Mizuno, Yotaro Watanabe, Shouko Masuda, Hayato Goto, Megumi Ohki, Chitose Sao, Suguru Matsuyoshi, Kentaro Inui, Yuji Matsumoto. Statement Map: Reducing Web Information Credibility Noise through Opinion Classification. Proceedings of the Fourth Workshop on Analytics for Noisy Unstructured Text Data (AND 2010), pp. 59-66, October 2010. paper
• Susumu Akamine, Daisuke Kawahara, Yoshikiyo Kato, Tetsuji Nakagawa, Yutaka I. Leon-Suematsu, Takuya Kawada, Kentaro Inui, Sadao Kurohashi, Yutaka Kidawara. Organizing Information on the Web to Support User Judgments on Information Credibility. Proceedings of the 4th International Universal Communication Symposium Proceedings (IUCS2010), pp. 122-129, October 2010.
• Koji Murakami, Eric Nichols, Junta Mizuno, Yotaro Watanabe, Hayato Goto, Megumi Ohki, Suguru Matsuyoshi, Kentaro Inui, Yuji Matsumoto. Automatic Classification of Semantic Relations between Facts and Opinions. Proceedings of the Second International Workshop on NLP Challenges in the Information Explosion Era (NLPIX 2010), pp.21-30, August 2010. paper
• Daisuke Kawahara, Kentaro Inui, Sadao Kurohashi. Identifying contradictory and contrastive relations between statements to outline Web information on a given topic. Proceedings of the 23rd International Conference on Computational Linguistics (COLING), pp.534-542, poster, August 2010.
• Tetsuji Nakagawa, Kentaro Inui, Sadao Kurohashi. Dependency tree-based sentiment classification using CRFs with hidden variables. Proceedings of the North American Chapter of the Association for Computational Linguistics and Human Language Technologies (NAACL-HLT), pp.786-794, June 2010.
• Suguru Matsuyoshi, Megumi Eguchi, Chitose Sao, Koji Murakami, Kentaro Inui, Yuji Matsumoto. Annotating event mentions in text with modality, focus, and source information.