| 2026 | ACL | Cell-Based Representation of Relational Binding in Language Models. | Qin Dai, Benjamin Heinzerling, Kentaro Inui |
| 2026 | ACL | Why Mean Pooling Works: Quantifying Second-Order Collapse in Text Embeddings. | Tomomasa Hara, Hiroto Kurita, Masaaki Imaizumi, Kentaro Inui, Sho Yokoi |
| 2026 | ACL | Disentangling the Effects of Unlearning in Measuring Parametric Faithfulness of Chain-of-Thought. | Ryo Mitsuhashi, Gaku Morio, Ayana Niwa, Masahiro Kaneko, Kentaro Inui, Terufumi Morishita, Yuta Koreeda, Yasuhiro Sogawa |
| 2026 | EACL | Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics (Volume 2: Short Papers). | Vera Demberg, Kentaro Inui, Llus Mrquez |
| 2026 | EACL | Sycophancy Hides Linearly in the Attention Heads. | Rifo Ahmad Genadi, Munachiso Nwadike, Nurdaulet Mukhituly, Tatsuya Hiraoka, Hilal AlQuabeh, Kentaro Inui |
| 2026 | EACL | LLMs Faithfully and Iteratively Compute Answers During CoT: A Systematic Analysis With Multi-step Arithmetics. | Keito Kudo, Yoichi Aoki, Tatsuki Kuribayashi, Shusaku Sone, Masaya Taniguchi, Ana Brassard, Keisuke Sakaguchi, Kentaro Inui |
| 2025 | ACL | Rectifying Belief Space via Unlearning to Harness LLMs' Reasoning. | Ayana Niwa, Masahiro Kaneko, Kentaro Inui |
| 2025 | ACL | Library-Like Behavior In Language Models is Enhanced by Self-Referencing Causal Cycles. | Munachiso Nwadike, Zangir Iklassov, Toluwani Aremu, Tatsuya Hiraoka, Benjamin Heinzerling, Velibor Bojkovic, Hilal AlQuabeh, Martin Takc, Kentaro Inui |
| 2025 | ACL | On Entity Identification in Language Models. | Masaki Sakata, Benjamin Heinzerling, Sho Yokoi, Takumi Ito, Kentaro Inui |
| 2025 | AIED | Annotating Errors in English Learners' Written Language Production: Advancing Automated Written Feedback Systems. | Steven Coyne, Diana Galvn-Sosa, Ryan Spring, Camlia Guerraoui, Michael Zock, Keisuke Sakaguchi, Kentaro Inui |
| 2025 | AIED | Tell Me Who Your Students Are: GPT Can Generate Valid Multiple-Choice Questions When Students' (Mis)Understanding is Hinted. | Machi Shimmei, Masaki Uto, Yuichiroh Matsubayashi, Kentaro Inui, Aditi Mallavarapu, Noboru Matsuda |
| 2025 | CHI | Beyond Click to Cognition: Effective Interventions for Promoting Examination of False Beliefs in Misinformation. | Yuko Tanaka, Hiromi Arai, Miwa Inuzuka, Yoichi Takahashi, Minao Kukita, Ryuta Iseki, Kentaro Inui |
| 2025 | COLING | Grape at GenAI Detection Task 1: Leveraging Compact Models and Linguistic Features for Robust Machine-Generated Text Detection. | Nhi Hoai Doan, Kentaro Inui |
| 2025 | COLING | MQM-Chat: Multidimensional Quality Metrics for Chat Translation. | Yunmeng Li, Jun Suzuki, Makoto Morishita, Kaori Abe, Kentaro Inui |
| 2025 | COLING | Proceedings of the First Workshop on Writing Aids at the Crossroads of AI, Cognitive Science and NLP (WRAICOGS 2025). | Michael Zock, Kentaro Inui, Zheng Yuan |
| 2025 | EMNLP | SPIRIT: Patching Speech Language Models against Jailbreak Attacks. | Amirbek Djanibekov, Nurdaulet Mukhituly, Kentaro Inui, Hanan Aldarmaki, Nils Lukas |
| 2025 | EMNLP | Spelling-out is not Straightforward: LLMs' Capability of Tokenization from Token to Characters. | Tatsuya Hiraoka, Kentaro Inui |
| 2025 | EMNLP | How a Bilingual LM Becomes Bilingual: Tracing Internal Representations with Sparse Autoencoders. | Tatsuro Inaba, Go Kamoda, Kentaro Inui, Masaru Isonuma, Yusuke Miyao, Yohei Oseki, Yu Takagi, Benjamin Heinzerling |
| 2025 | EMNLP | LLMs Can Compensate for Deficiencies in Visual Representations. | Sho Takishita, Jay P. Gala, Abdelrahman Mohamed, Kentaro Inui, Yova Kementchedjhieva |
| 2025 | EMNLP | Identification of Multiple Logical Interpretations in Counter-Arguments. | Wenzhi Wang, Paul Reisert, Shoichi Naito, Naoya Inoue, Machi Shimmei, Surawat Pothong, Jungmin Choi, Kentaro Inui |
| 2025 | IJCNLP | Understanding and Controlling Repetition Neurons and Induction Heads in In-Context Learning. | Nhi Hoai Doan, Tatsuya Hiraoka, Kentaro Inui |
| 2025 | IJCNLP | FOCUS: A Benchmark for Targeted Socratic Question Generation via Source-Span Grounding. | Surawat Pothong, Machi Shimmei, Naoya Inoue, Paul Reisert, Ana Brassard, Wenzhi Wang, Shoichi Naito, Jungmin Choi, Kentaro Inui |
| 2025 | IJCNLP | Can Language Models Handle a Non-Gregorian Calendar? The Case of the Japanese wareki. | Mutsumi Sasaki, Go Kamoda, Ryosuke Takahashi, Kosuke Sato, Kentaro Inui, Keisuke Sakaguchi, Benjamin Heinzerling |
| 2025 | NAACL | The Geometry of Numerical Reasoning: Language Models Compare Numeric Properties in Linear Subspaces. | Ahmed Oumar El-Shangiti, Tatsuya Hiraoka, Hilal AlQuabeh, Benjamin Heinzerling, Kentaro Inui |
| 2025 | NAACL | Repetition Neurons: How Do Language Models Produce Repetitions? | Tatsuya Hiraoka, Kentaro Inui |
| 2025 | NAACL | Weight-based Analysis of Detokenization in Language Models: Understanding the First Stage of Inference Without Inference. | Go Kamoda, Benjamin Heinzerling, Tatsuro Inaba, Keito Kudo, Keisuke Sakaguchi, Kentaro Inui |
| 2024 | ACL | Monotonic Representation of Numeric Attributes in Language Models. | Benjamin Heinzerling, Kentaro Inui |
| 2024 | ACL | A Large Collection of Model-generated Contradictory Responses for Consistency-aware Dialogue Systems. | Shiki Sato, Reina Akama, Jun Suzuki, Kentaro Inui |
| 2024 | ACL | How Well Do Vision Models Encode Diagram Attributes? | Haruto Yoshida, Keito Kudo, Yoichi Aoki, Ryota Tanaka, Itsumi Saito, Keisuke Sakaguchi, Kentaro Inui |
| 2024 | COLING | To Drop or Not to Drop? Predicting Argument Ellipsis Judgments: A Case Study in Japanese. | Yukiko Ishizuki, Tatsuki Kuribayashi, Yuichiroh Matsubayashi, Ryohei Sasano, Kentaro Inui |
| 2024 | EACL | Japanese-English Sentence Translation Exercises Dataset for Automatic Grading. | Naoki Miura, Hiroaki Funayama, Seiya Kikuchi, Yuichiroh Matsubayashi, Yuya Iwase, Kentaro Inui |
| 2024 | EMNLP | First Heuristic Then Rational: Dynamic Use of Heuristics in Language Model Reasoning. | Yoichi Aoki, Keito Kudo, Tatsuki Kuribayashi, Shusaku Sone, Masaya Taniguchi, Keisuke Sakaguchi, Kentaro Inui |
| 2024 | EMNLP | Representational Analysis of Binding in Language Models. | Qin Dai, Benjamin Heinzerling, Kentaro Inui |
| 2024 | EMNLP | Designing Logic Pattern Templates for Counter-Argument Logical Structure Analysis. | Shoichi Naito, Wenzhi Wang, Paul Reisert, Naoya Inoue, Camlia Guerraoui, Kenshi Yamaguchi, Jungmin Choi, Irfan Robbani, Surawat Pothong, Kentaro Inui |
| 2024 | EMNLP | Flee the Flaw: Annotating the Underlying Logic of Fallacious Arguments Through Templates and Slot-filling. | Irfan Robbani, Paul Reisert, Surawat Pothong, Naoya Inoue, Camlia Guerraoui, Wenzhi Wang, Shoichi Naito, Jungmin Choi, Kentaro Inui |
| 2024 | ICLR | Analyzing Feed-Forward Blocks in Transformers through the Lens of Attention Maps. | Goro Kobayashi, Tatsuki Kuribayashi, Sho Yokoi, Kentaro Inui |
| 2023 | ACL | Transformer Language Models Handle Word Frequency in Prediction Head. | Goro Kobayashi, Tatsuki Kuribayashi, Sho Yokoi, Kentaro Inui |
| 2023 | ACL | Can LMs Store and Retrieve 1-to-N Relational Knowledge? | Haruki Nagasawa, Benjamin Heinzerling, Kazuma Kokuta, Kentaro Inui |
| 2023 | AIED | Reducing the Cost: Cross-Prompt Pre-finetuning for Short Answer Scoring. | Hiroaki Funayama, Yuya Asazuma, Yuichiroh Matsubayashi, Tomoya Mizumoto, Kentaro Inui |
| 2023 | CHI | Who Does Not Benefit from Fact-checking Websites?: A Psychological Characteristic Predicts the Selective Avoidance of Clicking Uncongenial Facts. | Yuko Tanaka, Miwa Inuzuka, Hiromi Arai, Yoichi Takahashi, Minao Kukita, Kentaro Inui |
| 2023 | CogSci | Fight Bias with Bias? Two Interventions for Mitigating the Selective Avoidance of Clicking Uncongenial Facts. | Yuko Tanaka, Hiromi Arai, Miwa Inuzuka, Yoichi Takahashi, Minao Kukita, Kentaro Inui |
| 2023 | EACL | Empirical Investigation of Neural Symbolic Reasoning Strategies. | Yoichi Aoki, Keito Kudo, Tatsuki Kuribayashi, Ana Brassard, Masashi Yoshikawa, Keisuke Sakaguchi, Kentaro Inui |
| 2023 | EACL | Prompting for explanations improves Adversarial NLI. Is this true? Yes it is true because it weakens superficial cues. | Pride Kavumba, Ana Brassard, Benjamin Heinzerling, Kentaro Inui |
| 2023 | EACL | Do Deep Neural Networks Capture Compositionality in Arithmetic Reasoning? | Keito Kudo, Yoichi Aoki, Tatsuki Kuribayashi, Ana Brassard, Masashi Yoshikawa, Keisuke Sakaguchi, Kentaro Inui |
| 2023 | EMNLP | Investigating the Effectiveness of Multiple Expert Models Collaboration. | Ikumi Ito, Takumi Ito, Jun Suzuki, Kentaro Inui |
| 2023 | EMNLP | Test-time Augmentation for Factual Probing. | Go Kamoda, Benjamin Heinzerling, Keisuke Sakaguchi, Kentaro Inui |
| 2023 | EMNLP | Contrastive Learning-based Sentence Encoders Implicitly Weight Informative Words. | Hiroto Kurita, Goro Kobayashi, Sho Yokoi, Kentaro Inui |
| 2023 | UIST | Use of an AI-powered Rewriting Support Software in Context with Other Tools: A Study of Non-Native English Speakers. | Takumi Ito, Naomi Yamashita, Tatsuki Kuribayashi, Masatoshi Hidaka, Jun Suzuki, Ge Gao, Jack Jamieson, Kentaro Inui |
| 2022 | AIED | Balancing Cost and Quality: An Exploration of Human-in-the-Loop Frameworks for Automated Short Answer Scoring. | Hiroaki Funayama, Tasuku Sato, Yuichiroh Matsubayashi, Tomoya Mizumoto, Jun Suzuki, Kentaro Inui |
| 2022 | AIED | Plausibility and Faithfulness of Feature Attribution-Based Explanations in Automated Short Answer Scoring. | Tasuku Sato, Hiroaki Funayama, Kazuaki Hanawa, Kentaro Inui |
| 2022 | COLING | Topicalization in Language Models: A Case Study on Japanese. | Riki Fujihara, Tatsuki Kuribayashi, Kaori Abe, Ryoko Tokuhisa, Kentaro Inui |
| 2022 | COLING | Target-Guided Open-Domain Conversation Planning. | Yosuke Kishinami, Reina Akama, Shiki Sato, Ryoko Tokuhisa, Jun Suzuki, Kentaro Inui |
| 2022 | COLING | Iterative Span Selection: Self-Emergence of Resolving Orders in Semantic Role Labeling. | Shuhei Kurita, Hiroki Ouchi, Kentaro Inui, Satoshi Sekine |
| 2022 | EMNLP | Cross-stitching Text and Knowledge Graph Encoders for Distantly Supervised Relation Extraction. | Qin Dai, Benjamin Heinzerling, Kentaro Inui |
| 2022 | EMNLP | Context Limitations Make Neural Language Models More Human-Like. | Tatsuki Kuribayashi, Yohei Oseki, Ana Brassard, Kentaro Inui |
| 2022 | LREC | COPA-SSE: Semi-structured Explanations for Commonsense Reasoning. | Ana Brassard, Benjamin Heinzerling, Pride Kavumba, Kentaro Inui |
| 2022 | LREC | LPAttack: A Feasible Annotation Scheme for Capturing Logic Pattern of Attacks in Arguments. | Farjana Sultana Mim, Naoya Inoue, Shoichi Naito, Keshav Singh, Kentaro Inui |
| 2022 | LREC | TYPIC: A Corpus of Template-Based Diagnostic Comments on Argumentation. | Shoichi Naito, Shintaro Sawada, Chihiro Nakagawa, Naoya Inoue, Kenshi Yamaguchi, Iori Shimizu, Farjana Sultana Mim, Keshav Singh, Kentaro Inui |
| 2022 | LREC | IRAC: A Domain-Specific Annotated Corpus of Implicit Reasoning in Arguments. | Keshav Singh, Naoya Inoue, Farjana Sultana Mim, Shoichi Naitoh, Kentaro Inui |
| 2022 | PACLIC | Law Retrieval with Supervised Contrastive Learning Using the Hierarchical Structure of Law. | Jungmin Choi, Ukyo Honda, Taro Watanabe, Hiroki Ouchi, Kentaro Inui |
| 2022 | SIGdial | N-best Response-based Analysis of Contradiction-awareness in Neural Response Generation Models. | Shiki Sato, Reina Akama, Hiroki Ouchi, Ryoko Tokuhisa, Jun Suzuki, Kentaro Inui |
| 2021 | ACL | Lower Perplexity is Not Always Human-Like. | Tatsuki Kuribayashi, Yohei Oseki, Takumi Ito, Ryo Yoshida, Masayuki Asahara, Kentaro Inui |
| 2021 | ACL | SyGNS: A Systematic Generalization Testbed Based on Natural Language Semantics. | Hitomi Yanaka, Koji Mineshima, Kentaro Inui |
| 2021 | EACL | Two Training Strategies for Improving Relation Extraction over Universal Graph. | Qin Dai, Naoya Inoue, Ryo Takahashi, Kentaro Inui |
| 2021 | EACL | Language Models as Knowledge Bases: On Entity Representations, Storage Capacity, and Paraphrased Queries. | Benjamin Heinzerling, Kentaro Inui |
| 2021 | EACL | Exploring Transitivity in Neural NLI Models through Veridicality. | Hitomi Yanaka, Koji Mineshima, Kentaro Inui |
| 2021 | EMNLP | Exploring Methods for Generating Feedback Comments for Writing Learning. | Kazuaki Hanawa, Ryo Nagata, Kentaro Inui |
| 2021 | EMNLP | Summarize-then-Answer: Generating Concise Explanations for Multi-hop Reading Comprehension. | Naoya Inoue, Harsh Trivedi, Steven Sinha, Niranjan Balasubramanian, Kentaro Inui |
| 2021 | EMNLP | SHAPE : Shifted Absolute Position Embedding for Transformers. | Shun Kiyono, Sosuke Kobayashi, Jun Suzuki, Kentaro Inui |
| 2021 | EMNLP | Incorporating Residual and Normalization Layers into Analysis of Masked Language Models. | Goro Kobayashi, Tatsuki Kuribayashi, Sho Yokoi, Kentaro Inui |
| 2021 | EMNLP | Pseudo Zero Pronoun Resolution Improves Zero Anaphora Resolution. | Ryuto Konno, Shun Kiyono, Yuichiroh Matsubayashi, Hiroki Ouchi, Kentaro Inui |
| 2021 | EMNLP | Transformer-based Lexically Constrained Headline Generation. | Kosuke Yamada, Yuta Hitomi, Hideaki Tamori, Ryohei Sasano, Naoaki Okazaki, Kentaro Inui, Koichi Takeda |
| 2021 | ICLR | Evaluation of Similarity-based Explanations. | Kazuaki Hanawa, Sho Yokoi, Satoshi Hara, Kentaro Inui |
| 2021 | NAACL | Learning to Learn to be Right for the Right Reasons. | Pride Kavumba, Benjamin Heinzerling, Ana Brassard, Kentaro Inui |
| 2020 | AAAI | Assessing the Benchmarking Capacity of Machine Reading Comprehension Datasets. | Saku Sugawara, Pontus Stenetorp, Kentaro Inui, Akiko Aizawa |
| 2020 | ACL | Preventing Critical Scoring Errors in Short Answer Scoring with Confidence Estimation. | Hiroaki Funayama, Shota Sasaki, Yuichiroh Matsubayashi, Tomoya Mizumoto, Jun Suzuki, Masato Mita, Kentaro Inui |
| 2020 | ACL | R4C: A Benchmark for Evaluating RC Systems to Get the Right Answer for the Right Reason. | Naoya Inoue, Pontus Stenetorp, Kentaro Inui |
| 2020 | ACL | Encoder-Decoder Models Can Benefit from Pre-trained Masked Language Models in Grammatical Error Correction. | Masahiro Kaneko, Masato Mita, Shun Kiyono, Jun Suzuki, Kentaro Inui |
| 2020 | ACL | Embeddings of Label Components for Sequence Labeling: A Case Study of Fine-grained Named Entity Recognition. | Takuma Kato, Kaori Abe, Hiroki Ouchi, Shumpei Miyawaki, Jun Suzuki, Kentaro Inui |
| 2020 | ACL | Language Models as an Alternative Evaluator of Word Order Hypotheses: A Case Study in Japanese. | Tatsuki Kuribayashi, Takumi Ito, Jun Suzuki, Kentaro Inui |
| 2020 | ACL | Instance-Based Learning of Span Representations: A Case Study through Named Entity Recognition. | Hiroki Ouchi, Jun Suzuki, Sosuke Kobayashi, Sho Yokoi, Tatsuki Kuribayashi, Ryuto Konno, Kentaro Inui |
| 2020 | ACL | Evaluating Dialogue Generation Systems via Response Selection. | Shiki Sato, Reina Akama, Hiroki Ouchi, Jun Suzuki, Kentaro Inui |
| 2020 | ACL | Do Neural Models Learn Systematicity of Monotonicity Inference in Natural Language? | Hitomi Yanaka, Koji Mineshima, Daisuke Bekki, Kentaro Inui |
| 2020 | COLING | PheMT: A Phenomenon-wise Dataset for Machine Translation Robustness on User-Generated Contents. | Ryo Fujii, Masato Mita, Kaori Abe, Kazuaki Hanawa, Makoto Morishita, Jun Suzuki, Kentaro Inui |
| 2020 | COLING | An Empirical Study of Contextual Data Augmentation for Japanese Zero Anaphora Resolution. | Ryuto Konno, Yuichiroh Matsubayashi, Shun Kiyono, Hiroki Ouchi, Ryo Takahashi, Kentaro Inui |
| 2020 | COLING | Modeling Event Salience in Narratives via Barthes' Cardinal Functions. | Takaki Otake, Sho Yokoi, Naoya Inoue, Ryo Takahashi, Tatsuki Kuribayashi, Kentaro Inui |
| 2020 | EMNLP | A System for Worldwide COVID-19 Information Aggregation. | Akiko Aizawa, Frdric Bergron, Junjie Chen, Fei Cheng, Katsuhiko Hayashi, Kentaro Inui, Hiroyoshi Ito, Daisuke Kawahara, Masaru Kitsuregawa, Hirokazu Kiyomaru, Masaki Kobayashi, Takashi Kodama, Sadao Kurohashi, Qianying Liu, Masaki Matsubara, Yusuke Miyao, Atsuyuki Morishima, Yugo Murawaki, Kazumasa Omura, Haiyue Song, Eiichiro Sumita, Shinji Suzuki, Ribeka Tanaka, Yu Tanaka, Masashi Toyoda, Nobuhiro Ueda, Honai Ueoka, Masao Utiyama, Ying Zhong |
| 2020 | EMNLP | Filtering Noisy Dialogue Corpora by Connectivity and Content Relatedness. | Reina Akama, Sho Yokoi, Jun Suzuki, Kentaro Inui |
| 2020 | EMNLP | Langsmith: An Interactive Academic Text Revision System. | Takumi Ito, Tatsuki Kuribayashi, Masatoshi Hidaka, Jun Suzuki, Kentaro Inui |
| 2020 | EMNLP | Attention is Not Only a Weight: Analyzing Transformers with Vector Norms. | Goro Kobayashi, Tatsuki Kuribayashi, Sho Yokoi, Kentaro Inui |
| 2020 | EMNLP | Efficient Estimation of Influence of a Training Instance. | Sosuke Kobayashi, Sho Yokoi, Jun Suzuki, Kentaro Inui |
| 2020 | EMNLP | A Self-Refinement Strategy for Noise Reduction in Grammatical Error Correction. | Masato Mita, Shun Kiyono, Masahiro Kaneko, Jun Suzuki, Kentaro Inui |
| 2020 | EMNLP | Word Rotator's Distance. | Sho Yokoi, Ryo Takahashi, Reina Akama, Jun Suzuki, Kentaro Inui |
| 2020 | LREC | Creating Corpora for Research in Feedback Comment Generation. | Ryo Nagata, Kentaro Inui, Shin'ichiro Ishikawa |
| 2019 | AAAI | Mixture of Expert/Imitator Networks: Scalable Semi-Supervised Learning Framework. | Shun Kiyono, Jun Suzuki, Kentaro Inui |
| 2019 | ACL | An Empirical Study of Span Representations in Argumentation Structure Parsing. | Tatsuki Kuribayashi, Hiroki Ouchi, Naoya Inoue, Paul Reisert, Toshinori Miyoshi, Jun Suzuki, Kentaro Inui |
| 2019 | ACL | Unsupervised Learning of Discourse-Aware Text Representation for Essay Scoring. | Farjana Sultana Mim, Naoya Inoue, Paul Reisert, Hiroki Ouchi, Kentaro Inui |
| 2019 | AIED | An Annotation Protocol for Collecting User-Generated Counter-Arguments Using Crowdsourcing. | Paul Reisert, Gisela Vallejo, Naoya Inoue, Iryna Gurevych, Kentaro Inui |
| 2019 | EMNLP | TEASPN: Framework and Protocol for Integrated Writing Assistance Environments. | Masato Hagiwara, Takumi Ito, Tatsuki Kuribayashi, Jun Suzuki, Kentaro Inui |
| 2019 | EMNLP | An Empirical Study of Incorporating Pseudo Data into Grammatical Error Correction. | Shun Kiyono, Jun Suzuki, Masato Mita, Tomoya Mizumoto, Kentaro Inui |
| 2019 | EMNLP | Transductive Learning of Neural Language Models for Syntactic and Semantic Analysis. | Hiroki Ouchi, Jun Suzuki, Kentaro Inui |
| 2019 | EMNLP | Select and Attend: Towards Controllable Content Selection in Text Generation. | Xiaoyu Shen, Jun Suzuki, Kentaro Inui, Hui Su, Dietrich Klakow, Satoshi Sekine |
| 2019 | INLG | A Large-Scale Multi-Length Headline Corpus for Analyzing Length-Constrained Headline Generation Model Evaluation. | Yuta Hitomi, Yuya Taguchi, Hideaki Tamori, Ko Kikuta, Jiro Nishitoba, Naoaki Okazaki, Kentaro Inui, Manabu Okumura |
| 2019 | INLG | Diamonds in the Rough: Generating Fluent Sentences from Early-Stage Drafts for Academic Writing Assistance. | Takumi Ito, Tatsuki Kuribayashi, Hayato Kobayashi, Ana Brassard, Masato Hagiwara, Jun Suzuki, Kentaro Inui |
| 2019 | NAACL | Cross-Corpora Evaluation and Analysis of Grammatical Error Correction Models - Is Single-Corpus Evaluation Enough? | Masato Mita, Tomoya Mizumoto, Masahiro Kaneko, Ryo Nagata, Kentaro Inui |
| 2019 | NAACL | Subword-based Compact Reconstruction of Word Embeddings. | Shota Sasaki, Jun Suzuki, Kentaro Inui |
| 2018 | ACL | Unsupervised Learning of Style-sensitive Word Vectors. | Reina Akama, Kento Watanabe, Sho Yokoi, Sosuke Kobayashi, Kentaro Inui |
| 2018 | ACL | Interpretable and Compositional Relation Learning by Joint Training with an Autoencoder. | Ryo Takahashi, Ran Tian, Kentaro Inui |
| 2018 | COLING | Distance-Free Modeling of Multi-Predicate Interactions in End-to-End Japanese Predicate-Argument Structure Analysis. | Yuichiroh Matsubayashi, Kentaro Inui |
| 2018 | COLING | Predicting Stances from Social Media Posts using Factorization Machines. | Akira Sasaki, Kazuaki Hanawa, Naoaki Okazaki, Kentaro Inui |
| 2018 | EMNLP | Unsupervised Token-wise Alignment to Improve Interpretation of Encoder-Decoder Models. | Shun Kiyono, Sho Takase, Jun Suzuki, Naoaki Okazaki, Kentaro Inui, Masaaki Nagata |
| 2018 | EMNLP | What Makes Reading Comprehension Questions Easier? | Saku Sugawara, Kentaro Inui, Satoshi Sekine, Akiko Aizawa |
| 2018 | EMNLP | Pointwise HSIC: A Linear-Time Kernelized Co-occurrence Norm for Sparse Linguistic Expressions. | Sho Yokoi, Sosuke Kobayashi, Kenji Fukumizu, Jun Suzuki, Kentaro Inui |
| 2018 | NAACL | Cross-Lingual Learning-to-Rank with Shared Representations. | Shota Sasaki, Shuo Sun, Shigehiko Schamoni, Kevin Duh, Kentaro Inui |
| 2018 | NAACL | A Melody-Conditioned Lyrics Language Model. | Kento Watanabe, Yuichiroh Matsubayashi, Satoru Fukayama, Masataka Goto, Kentaro Inui, Tomoyasu Nakano |
| 2018 | PACLIC | Multi-dialect Neural Machine Translation and Dialectometry. | Kaori Abe, Yuichiroh Matsubayashi, Naoaki Okazaki, Kentaro Inui |
| 2018 | PACLIC | Improving Scientific Relation Classification with Task Specific Supersense. | Qin Dai, Naoya Inoue, Paul Reisert, Kentaro Inui |
| 2018 | PACLIC | Reducing Odd Generation from Neural Headline Generation. | Shun Kiyono, Sho Takase, Jun Suzuki, Naoaki Okazaki, Kentaro Inui, Masaaki Nagata |
| 2018 | PACLIC | Suspicious News Detection Using Micro Blog Text. | Tsubasa Tagami, Hiroki Ouchi, Hiroki Asano, Kazuaki Hanawa, Kaori Uchiyama, Kaito Suzuki, Kentaro Inui, Atsushi Komiya, Atsuo Fujimura, Ryo Yamashita, Hitofumi Yanai, Akinori Machino |
| 2017 | ACL | Other Topics You May Also Agree or Disagree: Modeling Inter-Topic Preferences using Tweets and Matrix Factorization. | Akira Sasaki, Kazuaki Hanawa, Naoaki Okazaki, Kentaro Inui |
| 2017 | CICLING | Monitoring Geographical Entities with Temporal Awareness in Tweets. | Koji Matsuda, Mizuki Sango, Naoaki Okazaki, Kentaro Inui |
| 2017 | EACL | Neural Architectures for Fine-grained Entity Type Classification. | Sonse Shimaoka, Pontus Stenetorp, Kentaro Inui, Sebastian Riedel |
| 2017 | EMNLP | Analyzing the Revision Logs of a Japanese Newspaper for Article Quality Assessment. | Hideaki Tamori, Yuta Hitomi, Naoaki Okazaki, Kentaro Inui |
| 2017 | IJCAI | Learning Co-Substructures by Kernel Dependence Maximization. | Sho Yokoi, Daichi Mochihashi, Ryo Takahashi, Naoaki Okazaki, Kentaro Inui |
| 2017 | IJCNLP | Generating Stylistically Consistent Dialog Responses with Transfer Learning. | Reina Akama, Kazuaki Inada, Naoya Inoue, Sosuke Kobayashi, Kentaro Inui |
| 2017 | IJCNLP | Reference-based Metrics can be Replaced with Reference-less Metrics in Evaluating Grammatical Error Correction Systems. | Hiroki Asano, Tomoya Mizumoto, Kentaro Inui |
| 2017 | IJCNLP | Proofread Sentence Generation as Multi-Task Learning with Editing Operation Prediction. | Yuta Hitomi, Hideaki Tamori, Naoaki Okazaki, Kentaro Inui |
| 2017 | IJCNLP | A Neural Language Model for Dynamically Representing the Meanings of Unknown Words and Entities in a Discourse. | Sosuke Kobayashi, Naoaki Okazaki, Kentaro Inui |
| 2017 | IJCNLP | Revisiting the Design Issues of Local Models for Japanese Predicate-Argument Structure Analysis. | Yuichiroh Matsubayashi, Kentaro Inui |
| 2017 | IUI | LyriSys: An Interactive Support System for Writing Lyrics Based on Topic Transition. | Kento Watanabe, Yuichiroh Matsubayashi, Kentaro Inui, Tomoyasu Nakano, Satoru Fukayama, Masataka Goto |
| 2017 | PACLIC | A Crowdsourcing Approach for Annotating Causal Relation Instances in Wikipedia. | Kazuaki Hanawa, Akira Sasaki, Naoaki Okazaki, Kentaro Inui |
| 2016 | ACCV | Learning to Describe E-Commerce Images from Noisy Online Data. | Takuya Yashima, Naoaki Okazaki, Kentaro Inui, Kota Yamaguchi, Takayuki Okatani |
| 2016 | ACL | Building a Corpus for Japanese Wikification with Fine-Grained Entity Classes. | Davaajav Jargalsaikhan, Naoaki Okazaki, Koji Matsuda, Kentaro Inui |
| 2016 | ACL | Composing Distributed Representations of Relational Patterns. | Sho Takase, Naoaki Okazaki, Kentaro Inui |
| 2016 | ACL | Learning Semantically and Additively Compositional Distributional Representations. | Ran Tian, Naoaki Okazaki, Kentaro Inui |
| 2016 | COLING | Modeling Context-sensitive Selectional Preference with Distributed Representations. | Naoya Inoue, Yuichiroh Matsubayashi, Masayuki Ono, Naoaki Okazaki, Kentaro Inui |
| 2016 | COLING | Modeling Discourse Segments in Lyrics Using Repeated Patterns. | Kento Watanabe, Yuichiroh Matsubayashi, Naho Orita, Naoaki Okazaki, Kentaro Inui, Satoru Fukayama, Tomoyasu Nakano, Jordan B. L. Smith, Masataka Goto |
| 2016 | LREC | Question-Answering with Logic Specific to Video Games. | Corentin Dumont, Ran Tian, Kentaro Inui |
| 2016 | NAACL | Dynamic Entity Representation with Max-pooling Improves Machine Reading. | Sosuke Kobayashi, Ran Tian, Naoaki Okazaki, Kentaro Inui |
| 2016 | PACLIC | Recognizing Open-Vocabulary Relations between Objects in Images. | Masayasu Muraoka, Sumit Maharjan, Masaki Saito, Kota Yamaguchi, Naoaki Okazaki, Takayuki Okatani, Kentaro Inui |
| 2016 | PACLIC | Neural Joint Learning for Classifying Wikipedia Articles into Fine-grained Named Entity Types. | Masatoshi Suzuki, Koji Matsuda, Satoshi Sekine, Naoaki Okazaki, Kentaro Inui |
| 2016 | PACLIC | Toward the automatic extraction of knowledge of usable goods. | Mei Uemura, Naho Orita, Naoaki Okazaki, Kentaro Inui |
| 2015 | NAACL | A Computational Approach for Generating Toulmin Model Argumentation. | Paul Reisert, Naoya Inoue, Naoaki Okazaki, Kentaro Inui |
| 2015 | NAACL | Learning Sentence Ordering for Opinion Generation of Debate. | Toshihiko Yanase, Toshinori Miyoshi, Kohsuke Yanai, Misa Sato, Makoto Iwayama, Yoshiki Niwa, Paul Reisert, Kentaro Inui |
| 2015 | PACLIC | Reducing Lexical Features in Parsing by Word Embeddings. | Hiroya Komatsu, Ran Tian, Naoaki Okazaki, Kentaro Inui |
| 2015 | PACLIC | Recognizing Complex Negation on Twitter. | Junta Mizuno, Canasai Kruengkrai, Kiyonori Ohtake, Chikara Hashimoto, Kentaro Torisawa, Julien Kloetzer, Kentaro Inui |
| 2015 | PACLIC | Fast and Large-scale Unsupervised Relation Extraction. | Sho Takase, Naoaki Okazaki, Kentaro Inui |
| 2014 | PACLIC | An Example-Based Approach to Difficult Pronoun Resolution. | Canasai Kruengkrai, Naoya Inoue, Jun Sugiura, Kentaro Inui |
| 2014 | PACLIC | Finding The Best Model Among Representative Compositional Models. | Masayasu Muraoka, Sonse Shimaoka, Kazeto Yamamoto, Yotaro Watanabe, Naoaki Okazaki, Kentaro Inui |
| 2014 | PACLIC | Modeling Structural Topic Transitions for Automatic Lyrics Generation. | Kento Watanabe, Yuichiroh Matsubayashi, Kentaro Inui, Masataka Goto |
| 2013 | ACL | Is a 204 cm Man Tall or Small ? Acquisition of Numerical Common Sense from the Web. | Katsuma Narisawa, Yotaro Watanabe, Junta Mizuno, Naoaki Okazaki, Kentaro Inui |
| 2013 | ACL | Detecting Chronic Critics Based on Sentiment Polarity and User's Behavior in Social Media. | Sho Takase, Akiko Murakami, Miki Enoki, Naoaki Okazaki, Kentaro Inui |
| 2013 | CICLING | Evidence in Automatic Error Correction Improves Learners' English Skill. | Jiro Umezawa, Junta Mizuno, Naoaki Okazaki, Kentaro Inui |
| 2013 | CICLING | Discriminative Learning of First-Order Weighted Abduction from Partial Discourse Explanations. | Kazeto Yamamoto, Naoya Inoue, Yotaro Watanabe, Naoaki Okazaki, Kentaro Inui |
| 2013 | IJCNLP | A Lexicon-based Investigation of Research Issues in Japanese Factuality Analysis. | Kazuya Narita, Junta Mizuno, Kentaro Inui |
| 2013 | IJCNLP | NICT Disaster Information Analysis System. | Kiyonori Ohtake, Jun Goto, Stijn De Saeger, Kentaro Torisawa, Junta Mizuno, Kentaro Inui |
| 2013 | IJCNLP | Extracting and Aggregating False Information from Microblogs. | Naoaki Okazaki, Keita Nabeshima, Kento Watanabe, Junta Mizuno, Kentaro Inui |
| 2013 | IJCNLP | Computer-assisted Structuring of Emergency Management Information: A Project Note. | Yotaro Watanabe, Kentaro Inui, Shingo Suzuki, Hiroko Koumoto, Mitsuhiro Higashida, Yuji Maeda, Katsumi Iwatsuki |
| 2013 | LPNMR | Recognizing Implicit Discourse Relations through Abductive Reasoning with Large-scale Lexical Knowledge. | Jun Sugiura, Naoya Inoue, Kentaro Inui |
| 2013 | PAKDD | Inducing Context Gazetteers from Encyclopedic Databases for Named Entity Recognition. | Han-Cheol Cho, Naoaki Okazaki, Kentaro Inui |
| 2012 | COLING | Coreference Resolution with ILP-based Weighted Abduction. | Naoya Inoue, Ekaterina Ovchinnikova, Kentaro Inui, Jerry R. Hobbs |
| 2012 | COLING | A Latent Discriminative Model for Compositional Entailment Relation Recognition using Natural Logic. | Yotaro Watanabe, Junta Mizuno, Eric Nichols, Naoaki Okazaki, Kentaro Inui |
| 2012 | JELIA | Large-Scale Cost-Based Abduction in Full-Fledged First-Order Predicate Logic with Cutting Plane Inference. | Naoya Inoue, Kentaro Inui |
| 2012 | PACLIC | Set Expansion using Sibling Relations between Semantic Categories. | Sho Takase, Naoaki Okazaki, Kentaro Inui |
| 2011 | AAAI | ILP-Based Reasoning for Weighted Abduction. | Naoya Inoue, Kentaro Inui |
| 2011 | CICLING | Dependency Syntax Analysis Using Grammar Induction and a Lexical Categories Precedence System. | Hiram Calvo, Omar Jurez-Gambino, Alexander F. Gelbukh, Kentaro Inui |
| 2011 | CICLING | Co-related Verb Argument Selectional Preferences. | Hiram Calvo, Kentaro Inui, Yuji Matsumoto |
| 2011 | WWW | Web information analysis for open-domain decision support: system design and user evaluation. | Takuya Kawada, Susumu Akamine, Daisuke Kawahara, Yoshikiyo Kato, Yutaka I. Leon-Suematsu, Kentaro Inui, Sadao Kurohashi, Yutaka Kidawara |
| 2010 | COLING | Identifying Contradictory and Contrastive Relations between Statements to Outline Web Information on a Given Topic. | Daisuke Kawahara, Kentaro Inui, Sadao Kurohashi |
| 2010 | LREC | Annotating Event Mentions in Text with Modality, Focus, and Source Information. | Suguru Matsuyoshi, Megumi Eguchi, Chitose Sao, Koji Murakami, Kentaro Inui, Yuji Matsumoto |
| 2010 | NAACL | Dependency Tree-based Sentiment Classification using CRFs with Hidden Variables. | Tetsuji Nakagawa, Kentaro Inui, Sadao Kurohashi |
| 2009 | ACL | WISDOM: A Web Information Credibility Analysis Systematic. | Susumu Akamine, Daisuke Kawahara, Yoshikiyo Kato, Tetsuji Nakagawa, Kentaro Inui, Sadao Kurohashi, Yutaka Kidawara |
| 2009 | ACL | Capturing Salience with a Trainable Cache Model for Zero-anaphora Resolution. | Ryu Iida, Kentaro Inui, Yuji Matsumoto |
| 2009 | CIARP | Learning Co-relations of Plausible Verb Arguments with a WSM and a Distributional Thesaurus. | Hiram Calvo, Kentaro Inui, Yuji Matsumoto |
| 2009 | PACLIC | Interpolated PLSI for Learning Plausible Verb Arguments. | Hiram Calvo, Kentaro Inui, Yuji Matsumoto |
| 2009 | WWW | Statement map: assisting information crediblity analysis by visualizing arguments. | Koji Murakami, Eric Nichols, Suguru Matsuyoshi, Asuka Sumida, Shouko Masuda, Kentaro Inui, Yuji Matsumoto |
| 2008 | CIKM | Extracting the author of web pages. | Yoshikiyo Kato, Daisuke Kawahara, Kentaro Inui, Sadao Kurohashi, Tomohide Shibata |
| 2008 | COLING | Two-Phased Event Relation Acquisition: Coupling the Relation-Oriented and Argument-Oriented Approaches. | Shuya Abe, Kentaro Inui, Yuji Matsumoto |
| 2008 | COLING | Emotion Classification Using Massive Examples Extracted from the Web. | Ryoko Tokuhisa, Kentaro Inui, Yuji Matsumoto |
| 2008 | IJCNLP | Acquiring Event Relation Knowledge by Learning Cooccurrence Patterns and Fertilizing Cooccurrence Samples with Verbal Nouns. | Shuya Abe, Kentaro Inui, Yuji Matsumoto |
| 2007 | EMNLP | Extracting Aspect-Evaluation and Aspect-Of Relations in Opinion Mining. | Nozomi Kobayashi, Kentaro Inui, Yuji Matsumoto |
| 2006 | ACL | Exploiting Syntactic Patterns as Clues in Zero-Anaphora Resolution. | Ryu Iida, Kentaro Inui, Yuji Matsumoto |
| 2006 | LREC | Augmenting a Semantic Verb Lexicon with a Large Scale Collection of Example Sentences. | Kentaro Inui, Toru Hirano, Ryu Iida, Atsushi Fujita, Yuji Matsumoto |
| 2005 | IJCNLP | Exploiting Lexical Conceptual Structure for Paraphrase Generation. | Atsushi Fujita, Kentaro Inui, Yuji Matsumoto |
| 2005 | IJCNLP | Opinion Extraction Using a Learning-Based Anaphora Resolution Technique. | Nozomi Kobayashi, Ryu Iida, Kentaro Inui, Yuji Matsumoto |
| 2004 | IJCNLP | Detection of Incorrect Case Assignments in Paraphrase Generation. | Atsushi Fujita, Kentaro Inui, Yuji Matsumoto |
| 2004 | IJCNLP | Collecting Evaluative Expressions for Opinion Extraction. | Nozomi Kobayashi, Kentaro Inui, Yuji Matsumoto, Kenji Tateishi, Toshikazu Fukushima |
| 2003 | DIS | What Kinds and Amounts of Causal Knowledge Can Be Acquired from Text by Using Connective Markers as Clues? | Takashi Inui, Kentaro Inui, Yuji Matsumoto |
| 2000 | COLING | Committee-based Decision Making in Probabiiistic Partial Parsing. | Takashi Inui, Kentaro Inui |
| 1998 | EMNLP | An Empirical Evaluation on Statistical Parsing of Japanese Sentences Using Lexical Association Statistics. | Kiyoaki Shirai, Kentaro Inui, Takenobu Tokunaga, Hozumi Tanaka |
| 1996 | COLING | To what extent does case contribute to verb sense disambiguation? | Atsushi Fujii, Kentaro Inui, Takenobu Tokunaga, Hozumi Tanaka |
| 1996 | COLING | The Internet a "natural" channel for language learning. | Kentaro Inui |