---
title: "Kentaro Inui — all works — Elamur Research"
description: "All 34 works of Kentaro Inui in the Elamur Research library, the most cited first: our summaries where we have them, else the original."
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---
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# Kentaro Inui — all works

34 works · [← Kentaro Inui](https://md.research.elamur.ai/free/en/authors/kentaro-inui/)

1. **[Attention is Not Only a Weight: Analyzing Transformers with Vector Norms](https://md.research.elamur.ai/free/en/papers/kobayashi-2020-attention-is-not-only-weight/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Goro Kobayashi, Tatsuki Kuribayashi, Sho Yokoi, et al.*2020 · 270 citations*
2. **[An Empirical Study of Incorporating Pseudo Data into Grammatical Error Correction ↗](https://aclanthology.org/D19-1119/) Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP) · no summary yet**Shun Kiyono et al.*2019 · 230 citations*
3. **[Encoder-Decoder Models Can Benefit from Pre-trained Masked Language Models in Grammatical Error Correction ↗](https://aclanthology.org/2020.acl-main.391/) Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics · no summary yet**Masahiro Kaneko et al.*2020 · 201 citations*
4. **[RealTime QA: What's the Answer Right Now?](https://md.research.elamur.ai/free/en/papers/kasai-2022-realtime-qa-s-answer-right/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Jungo Kasai, Keisuke Sakaguchi, Yoichi Takahashi, et al.*2022 · 181 citations*
5. **[What Makes Reading Comprehension Questions Easier?](https://md.research.elamur.ai/free/en/papers/sugawara-2018-what-makes-reading-comprehension-questions/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Saku Sugawara, Kentaro Inui, Satoshi Sekine, et al.*2018 · 179 citations*
6. **[Text Simplification for Reading Assistance: A Project Note ↗](https://aclanthology.org/W03-1602/) Proceedings of the Second International Workshop on Paraphrasing · no summary yet**Kentaro Inui et al.*2003 · 179 citations*
7. **[Annotating a Japanese Text Corpus with Predicate-Argument and Coreference Relations](https://md.research.elamur.ai/free/en/papers/iida-2007-annotating-japanese-text-corpus-predicate/) [Linguistic Annotation Workshop (LAW)](https://md.research.elamur.ai/free/en/venues/law/)**Ryu Iida, Mamoru Komachi, Kentaro Inui, et al.*2007 · 162 citations*
8. **[Language Models as Knowledge Bases: On Entity Representations, Storage Capacity, and Paraphrased Queries ↗](https://aclanthology.org/2021.eacl-main.153/) Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume · no summary yet**Benjamin Heinzerling, Kentaro Inui*2021 · 148 citations*
9. **[Selective Sampling for Example-based Word Sense Disambiguation](https://md.research.elamur.ai/free/en/papers/fujii-1998-selective-sampling-example-based-word/) [Computational Linguistics](https://md.research.elamur.ai/free/en/venues/cl/)**Atsushi Fujii, Kentaro Inui, Takenobu Tokunaga, et al.*1998 · 129 citations*
10. **[Can Neural Networks Understand Monotonicity Reasoning? ↗](https://aclanthology.org/W19-4804/) Proceedings of the 2019 ACL Workshop BlackboxNLP: Analyzing and Interpreting Neural Networks for NLP · no summary yet**Hitomi Yanaka et al.*2019 · 106 citations*
11. **[Lower Perplexity is Not Always Human-Like ↗](https://aclanthology.org/2021.acl-long.405/) Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers) · no summary yet**Tatsuki Kuribayashi et al.*2021 · 97 citations*
12. **[HELP: A Dataset for Identifying Shortcomings of Neural Models in Monotonicity Reasoning ↗](https://aclanthology.org/S19-1027/) Proceedings of the Eighth Joint Conference on Lexical and Computational Semantics (*SEM 2019) · no summary yet**Hitomi Yanaka et al.*2019 · 95 citations*
13. **[Exploiting Syntactic Patterns as Clues in Zero-Anaphora Resolution](https://md.research.elamur.ai/free/en/papers/iida-2006-exploiting-syntactic-patterns-as-clues/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Ryu Iida, Kentaro Inui, Yuji Matsumoto*2006 · 84 citations*
14. [**Analyzing the Performance of GPT-3.5 and GPT-4 in Grammatical Error Correction arXiv:2303.14342**Steven Coyne, Keisuke Sakaguchi, Diana Galvan-Sosa, et al.*2023 · 81 citations*](https://md.research.elamur.ai/free/en/papers/coyne-2023-analyzing-performance-gpt-3-5/)
15. **[Cross-Lingual Learning-to-Rank with Shared Representations ↗](https://aclanthology.org/N18-2073/) Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 2 (Short Papers) · no summary yet**Shota Sasaki et al.*2018 · 79 citations*
16. **[Dependency Tree-based Sentiment Classification using CRFs with Hidden Variables](https://md.research.elamur.ai/free/en/papers/nakagawa-2010-dependency-tree-based-sentiment-classification/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Tetsuji Nakagawa, Kentaro Inui, Sadao Kurohashi*2010 · 66 citations*
17. **[Assessing the Benchmarking Capacity of Machine Reading Comprehension Datasets ↗](https://arxiv.org/abs/1911.09241) arXiv:1911.09241 · no summary yet**Saku Sugawara et al.*2019 · 50 citations*
18. **[Reference-based Metrics can be Replaced with Reference-less Metrics in Evaluating Grammatical Error Correction Systems](https://md.research.elamur.ai/free/en/papers/asano-2017-reference-based-metrics-can-be/) [International Joint Conference on Natural Language Processing (IJCNLP)](https://md.research.elamur.ai/free/en/venues/ijcnlp/)**Hiroki Asano, Tomoya Mizumoto, Kentaro Inui*2017 · 49 citations*
19. **[Large Language Models Are Human-Like Internally](https://md.research.elamur.ai/free/en/papers/kuribayashi-2025-large-language-models-are-human/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Tatsuki Kuribayashi, Yohei Oseki, Souhaib Ben Taieb, et al.*2025 · 30 citations*
20. **[Exploring Transitivity in Neural NLI Models through Veridicality](https://md.research.elamur.ai/free/en/papers/yanaka-2021-exploring-transitivity-neural-nli-models/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Hitomi Yanaka, Koji Mineshima, Kentaro Inui*2021 · 27 citations*
21. **[Paraphrasing of Japanese Light-verb Constructions Based on Lexical Conceptual Structure ↗](https://aclanthology.org/W04-0402/) Proceedings of the Workshop on Multiword Expressions: Integrating Processing · no summary yet**Atsushi Fujita et al.*2004 · 18 citations*
22. **[Prompting for explanations improves Adversarial NLI. Is this true? \Yes\ it is \true\ because ıt weakens superficial cues\](https://md.research.elamur.ai/free/en/papers/kavumba-2023-prompting-explanations-improves-adversarial-nli/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Pride Kavumba, Ana Brassard, Benjamin Heinzerling, et al.*2023 · 14 citations*
23. **[Pseudo Zero Pronoun Resolution Improves Zero Anaphora Resolution](https://md.research.elamur.ai/free/en/papers/konno-2021-pseudo-zero-pronoun-resolution-improves/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Ryuto Konno, Shun Kiyono, Yuichiroh Matsubayashi, et al.*2021 · 14 citations*
24. **[A Class-oriented Approach to Building a Paraphrase Corpus ↗](https://aclanthology.org/I05-5004/) Proceedings of the Third International Workshop on Paraphrasing (IWP2005) · no summary yet**Atsushi Fujita, Kentaro Inui*2005 · 14 citations*
25. **[A Paraphrase-Based Exploration of Cohesiveness Criteria ↗](https://aclanthology.org/W01-0814/) Proceedings of the ACL 2001 Eighth European Workshop on Natural Language Generation (EWNLG) · no summary yet**Kentaro Inui, Masaru Nogami*2001 · 11 citations*
26. **[An Empirical Study of Contextual Data Augmentation for Japanese Zero Anaphora Resolution](https://md.research.elamur.ai/free/en/papers/konno-2020-empirical-study-contextual-data-augmentation/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Ryuto Konno, Yuichiroh Matsubayashi, Shun Kiyono, et al.*2020 · 9 citations*
27. **[Chat Translation Error Detection for Assisting Cross-lingual Communications ↗](https://aclanthology.org/2022.eval4nlp-1.9/) Proceedings of the 3rd Workshop on Evaluation and Comparison of NLP Systems · no summary yet**Yunmeng Li et al.*2022 · 8 citations*
28. **[Exploiting Lexical Conceptual Structure for Paraphrase Generation ↗](https://aclanthology.org/I05-1079/) Second International Joint Conference on Natural Language Processing: Full Papers · no summary yet**Atsushi Fujita, Kentaro Inui, Yuji Matsumoto*2005 · 8 citations*
29. **[Proceedings of the Workshop on Language Processing and Crisis Information 2013 ↗](https://openalex.org/W2799280812) no summary yet**Kentaro Inui et al.*2013 · 5 citations*
30. **[Annotating Errors in English Learners' Written Language Production: Advancing Automated Written Feedback Systems](https://md.research.elamur.ai/free/en/papers/coyne-2025-annotating-errors-english-learners-written/) [Lecture notes in computer science](https://md.research.elamur.ai/free/en/venues/lecture-notes-in-computer-science/)**Steven Coyne, Diana Galvan-Sosa, Ryan Spring, et al.*2025 · 3 citations*
31. **[MQM-Chat: Multidimensional Quality Metrics for Chat Translation ↗](https://aclanthology.org/2025.coling-main.221/) Proceedings of the 31st International Conference on Computational Linguistics · no summary yet**Yunmeng Li et al.*2025 · 2 citations*
32. [**Can Dialects Be Steered Like Languages? Sparse Neurons and Distributed Directions in Arabic LLMs arXiv:2607.03936**Kareem Elozeiri, Mervat Abassy, Omar Kallas, et al.*2026 · 1 citation*](https://md.research.elamur.ai/free/en/papers/elozeiri-2026-dialects-steered-like-languages-sparse/)
33. **[ASR Models for Traditional Emirati Arabic: Challenges, Adaptations, and Performance Evaluation](https://md.research.elamur.ai/free/en/papers/alblooki-2025-asr-models-traditional-emirati-arabic/) [International Conference on Natural Language and Speech Processing](https://md.research.elamur.ai/free/en/venues/icnlsp/)**Maha Alblooki, Kentaro Inui, Shady Shehata*2025 · 1 citation*
34. **[Disentangling the Effects of Unlearning in Measuring Parametric Faithfulness of Chain-of-Thought](https://md.research.elamur.ai/free/en/papers/mitsuhashi-2026-disentangling-effects-unlearning-measuring-parametric/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Ryo Mitsuhashi, Gaku Morio, Ayana Niwa, et al.*2026*