Keisuke Sakaguchi

Contact Information

Tohoku University
6-6-05 Aramaki Aza Aoba, Aoba-ku, Sendai
Miyagi, 980-8579, Japan
URL: https://keisuke-sakaguchi.github.io
Email: keisuke.sakaguchi@tohoku.ac.jp
GitHub: https://github.com/keisks

Professional Experience

Kotoba Technologies Inc. Tokyo, Japan
Technical Advisor 04/2024 -- present
RIKEN Center for Advanced Intelligence Project Tokyo, Japan
Visiting Scientist 09/2022 -- present
Tohoku University Miyagi, Japan
Associate Professor 07/2022 -- present
Allen Institute for AI (AI2) Seattle, WA, USA
Research Scientist 08/2018 -- 06/2022
IBM T. J. Watson Research Center Yorktown Heights, NY, USA
Research Intern 05/2017 -- 08/2017
Educational Testing Service (ETS) Princeton, NJ, USA
Research Intern 05/2014 -- 08/2014
Nara Institute of Science and Technology (NAIST) Nara, Japan
JSPS Research Fellow (DC1) 04/2013 -- 08/2013
Microsoft Research Asia Beijing, China
Research Intern 08/2012 -- 11/2012
Yahoo Japan Corporation Tokyo, Japan
Research Intern 08/2011 -- 09/2011
IBM Japan Systems Engineering Co. Ltd. Chiba, Japan
IT Infrastructure Engineer 04/2008 -- 03/2011
RIKEN Brain Science Institute Saitama, Japan
Technical Assistant 12/2006 -- 03/2008

Education

Johns Hopkins University Baltimore, MD, USA
Ph.D. in Computer Science 08/2013 -- 08/2018
Advisor(s): Prof. Benjamin Van Durme, Matt Post
Nara Institute of Science and Technology (NAIST) Nara, Japan
M.E. in Computer and Information Science 04/2011 -- 03/2013
Advisor(s): Prof. Yuji Matsumoto, Mamoru Komachi
University of Essex Colchester, UK
M.A. in Psycholinguistics and Neurolinguistics (with distinction) 10/2005 -- 09/2006
Advisor(s): Prof. Harald Clahsen
Waseda University Tokyo, Japan
B.A. in Literature (major in Philosophy) 4/2001 -- 03/2005
Advisor(s): Marito Sato

Honors and Awards

(Student) Best Paper Award at AACL-IJCNLP Student Research Workshop 2022
AAAI Outstanding Paper (Single Best Paper) Award 2020
ACL Outstanding Paper Award 2017
NAIST Excellent Student Scholarship 2013
University of Essex: graduate with distinction in Psycho(&Neuro)linguistics 2006

Professional activities

Area Chair:

COLM 2024, 2025. ARR 2023-current (ACL Rolling Review), EMNLP 2023 (Commonsense Reasoning), ACL 2023 (area: Semantics: Sentence-level Semantics, Textual Inference, and Other Areas), EACL 2023 (area: Language Resource and Evaluation), EMNLP 2022 (area: NLP Applications), StarSEM 2022 (area: Commonsense reasoning and natural language understanding)

Reviewer (Journals):

Transactions of the Association for Computational Linguistics (TACL) 2019-current. Computational Linguistics 2018. International Journal of Artificial Intelligence in Education (AIED) 2023

Reviewer (Conferences):

International Conference on Learning Representations (ICLR) 2024,2025. Conference on Neural Information Processing Systems (NeurIPS) 2023, 2024, 2025. ACL Rolling Review (ARR) 2021, 2022, 2023. Annual Meeting of the Association for Computational Linguistics (ACL) 2018, 2019, 2020, 2021. Annual Meeting of the North American Chapter of the ACL (NAACL) 2018, 2019, 2021, 2022. Conference on Empirical Methods on Natural Language Processing (EMNLP) 2015, 2016, 2017, 2018, 2019, 2020, 2021. AAAI Conference on Artificial Intelligence 2020, 2021. International Joint Conferences on Artificial Intelligence (IJCAI) 2019, 2020, 2021. Conference on Computational Natural Language Learning (CoNLL) 2019, 2020. Conference of the European Chapter of the Association for Computational Linguistics (EACL) 2021, Asia-Pacific Chapter of the Association for Computational Linguistics (AACL) 2020. International Joint Conference on Natural Language Processin (IJCNLP) 2017. International Conference on Computational Linguistics (COLING) 2014, 2016, 2018, 2020. International Conference on Spoken Language Translation (IWSLT) 2020.

Reviewer (Workshops):

Methods for Optimizing and Evaluating Neural Language Generation (NeuralGen) 2019. Workshop on Innovative Use of NLP for Building Educational Applications (BEA) 2014, 2015, 2016, 2017, 2019, 2020. Workshop on Noisy User-generated Text (W-NUT) 2018, 2019 2020.

Organizer:

NII Shonan Meeting (2024) Empowering Local Open Source LLMs.


Invited Talks

RealTime QA: What's the Answer Right Now? 12/03/2023
2023 BrainLink X-Lab Day, Korean Federation of Science and Technology Societies (KOFST), Republic of Korea
Twist Decoding: Diverse Generators Guide Each Other 08/07/2023
CWRU-TOHOKU Joint Workshop, Sendai, Japan
Large Language Models: What is happening now? 04/05/2023
Sungkyunkwan University, Republic of Korea (online)
Large Language Models: What will happen next? 10/25/2022
2022 BrainLink X-Lab Day, Korean Federation of Science and Technology Societies (KOFST), Republic of Korea
Large Language Models: What will happen next? 09/27/2022
AIST AI Research Center, Japan
Robust Text Correction for Grammar and Fluency 09/27/2018
Microsoft Research, Redmond, WA
Robust Text Correction for Grammar and Fluency 03/30/2018
Allen Institute for Artificial Intelligence, Seattle, WA
Grammatical Error Correction with Neural Reinforcement Learning 02/22/2018
Grammarly Research, Online
Robust Text Correction for Grammar and Fluency 02/09/2018
Amazon Research, Boston, MA
Evaluating SMT evaluation 11/27/2013
Rakuten Institute of Technology, NY

Teaching

Information and Data Literacy 2025 Spring
Tohoku University, Graduate School of Information Science
Natural Language Processing 2024 Fall
Tohoku University, Graduate School of Information Science
Information and Data Literacy 2024 Spring
Tohoku University, Graduate School of Information Science
Natural Language Processing 2023 Fall
Tohoku University, Graduate School of Information Science
Information and Data Literacy 2023 Spring
Tohoku University, Graduate School of Information Science
Introduction to Electrical, Information and Physics Engineering 2023 Spring
Tohoku University, School of Engineering
Natural Language Processing 2022 Fall
Tohoku University, Graduate School of Information Science

Publications

  1. Sketch2Diagram: Generating Vector Diagrams from Hand-Drawn Sketches
    Itsumi Saito, Haruto Yoshida, Keisuke Sakaguchi
    The Thirteenth International Conference on Learning Representations. Apr 2025
  2. 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
    Findings of the Association for Computational Linguistics: NAACL 2025. pp. 6324–6343, Apr 2025
  3. Self-Training Meets Consistency: Improving LLMs’ Reasoning with Consistency-Driven Rationale Evaluation
    Jaehyeok Lee, Keisuke Sakaguchi, JinYeong Bak
    Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers). pp. 10519–10539, Apr 2025
  4. Language Models can Categorize System Inputs for Performance Analysis
    Dominic Sobhani, Ruiqi Zhong, Edison Marrese-Taylor, Keisuke Sakaguchi, Yutaka Matsuo
    Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers). pp. 6241–6257, Apr 2025
  5. Investigating machine moral judgement through the Delphi experiment
    Liwei Jiang, Jena D. Hwang, Chandra Bhagavatula, Ronan Le Bras, Jenny T. Liang, Sydney Levine, Jesse Dodge, Keisuke Sakaguchi, Maxwell Forbes, Jack Hessel, Jon Borchardt, Taylor Sorensen, Saadia Gabriel, Yulia Tsvetkov, Oren Etzioni, Maarten Sap, Regina Rini, Yejin Choi
    Nature Machine Intelligence. pp. 145–160, 2025
  6. FinchGPT: a Transformer based language model for birdsong analysis
    Kosei Kobayashi, Kosuke Matsuzaki, Masaya Taniguchi, Keisuke Sakaguchi, Kentaro Inui, Kentaro Abe
    arXiv. 2025
  7. Quantifying the Influence of Evaluation Aspects on Long-Form Response Assessment
    Go Kamoda, Akari Asai, Ana Brassard, Keisuke Sakaguchi
    Proceedings of the 31st International Conference on Computational Linguistics. pp. 8787–8808, Jan 2025
  8. 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
    Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing. pp. 14255–14271, Nov 2024
  9. ACORN: Aspect-wise Commonsense Reasoning Explanation Evaluation
    Ana Brassard, Benjamin Heinzerling, Keito Kudo, Keisuke Sakaguchi, Kentaro Inui
    First Conference on Language Modeling. 2024
  10. Think-to-Talk or Talk-to-Think? When LLMs Come Up with an Answer in Multi-Step Reasoning
    Keito Kudo, Yoichi Aoki, Tatsuki Kuribayashi, Shusaku Sone, Masaya Taniguchi, Ana Brassard, Keisuke Sakaguchi, Kentaro Inui
    arXiv. Dec 2024
  11. Towards Automated Document Revision: Grammatical Error Correction, Fluency Edits, and Beyond
    Masato Mita, Keisuke Sakaguchi, Masato Hagiwara, Tomoya Mizumoto, Jun Suzuki, Kentaro Inui
    Proceedings of the 19th Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2024). pp. 251–265, Jun 2024
  12. A Multimodal Dialogue System to Lead Consensus Building with Emotion-Displaying
    Shinnosuk Nozue, Yuto Nakano, Shoji Moriya, Tomoki Ariyama, Kazuma Kokuta, Suchun Xie, Kai Sato, Shusaku Sone, Ryohei Kamei, Reina Akama, Yuichiroh Matsubayashi, Keisuke Sakaguchi
    Proceedings of the 25th Annual Meeting of the Special Interest Group on Discourse and Dialogue. pp. 669–673, Sep 2024
  13. Empirical Analysis of Large Vision-Language Models against Goal Hijacking via Visual Prompt Injection
    Subaru Kimura, Ryota Tanaka, Shumpei Miyawaki, Jun Suzuki, Keisuke Sakaguchi
    arXiv. Aug 2024
  14. LLM-jp: A Cross-organizational Project for the Research and Development of Fully Open Japanese LLMs
    LLM-jp, :, Akiko Aizawa, Eiji Aramaki, Bowen Chen, Fei Cheng, Hiroyuki Deguchi, Rintaro Enomoto, Kazuki Fujii, Kensuke Fukumoto, Takuya Fukushima, Namgi Han, Yuto Harada, Chikara Hashimoto, Tatsuya Hiraoka, Shohei Hisada, Sosuke Hosokawa, Lu Jie, Keisuke Kamata, Teruhito Kanazawa, Hiroki Kanezashi, Hiroshi Kataoka, Satoru Katsumata, Daisuke Kawahara, Seiya Kawano, Atsushi Keyaki, Keisuke Kiryu, Hirokazu Kiyomaru, Takashi Kodama, Takahiro Kubo, Yohei Kuga, Ryoma Kumon, Shuhei Kurita, Sadao Kurohashi, Conglong Li, Taiki Maekawa, Hiroshi Matsuda, Yusuke Miyao, Kentaro Mizuki, Sakae Mizuki, Yugo Murawaki, Akim Mousterou, Ryo Nakamura, Taishi Nakamura, Kouta Nakayama, Tomoka Nakazato, Takuro Niitsuma, Jiro Nishitoba, Yusuke Oda, Hayato Ogawa, Takumi Okamoto, Naoaki Okazaki, Yohei Oseki, Shintaro Ozaki, Koki Ryu, Rafal Rzepka, Keisuke Sakaguchi, Shota Sasaki, Satoshi Sekine, Kohei Suda, Saku Sugawara, Issa Sugiura, Hiroaki Sugiyama, Hisami Suzuki, Jun Suzuki, Toyotaro Suzumura, Kensuke Tachibana, Yu Takagi, Kyosuke Takami, Koichi Takeda, Masashi Takeshita, Masahiro Tanaka, Kenjiro Taura, Arseny Tolmachev, Nobuhiro Ueda, Zhen Wan, Shuntaro Yada, Sakiko Yahata, Yuya Yamamoto, Yusuke Yamauchi, Hitomi Yanaka, Rio Yokota, Koichiro Yoshino
    arXiv e-prints. Jul 2024
  15. The Curse of Popularity: Popular Entities have Catastrophic Side Effects when Deleting Knowledge from Language Models
    Ryosuke Takahashi, Go Kamoda, Benjamin Heinzerling, Keisuke Sakaguchi, Kentaro Inui
    arXiv. Jun 2024
  16. J-UniMorph: Japanese Morphological Annotation through the Universal Feature Schema
    Kosuke Matsuzaki, Masaya Taniguchi, Kentaro Inui, Keisuke Sakaguchi
    Proceedings of the 21st SIGMORPHON workshop on Computational Research in Phonetics, Phonology, and Morphology. pp. 7–19, Jun 2024
  17. Beam Decoding with Controlled Patience
    Jungo Kasai, Keisuke Sakaguchi, Ronan Le Bras, Dragomir Radev, Yejin Choi, Noah A. Smith
    Proceedings of 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation. May 2024
  18. PlaSma: Procedural Knowledge Models for Language-based Planning and Re-Planning
    Faeze Brahman, Chandra Bhagavatula, Valentina Pyatkin, Jena D. Hwang, Xiang Lorraine Li, Hirona Jacqueline Arai, Soumya Sanyal, Keisuke Sakaguchi, Xiang Ren, Yejin Choi
    The Twelfth International Conference on Learning Representations. May 2024
  19. RealTime QA: What’s the Answer Right Now?
    Jungo Kasai, Keisuke Sakaguchi, Yoichi Takahashi, Ronan Le Bras, Akari Asai, Xinyan Velocity Yu, Dragomir Radev, Noah A. Smith, Yejin Choi, Kentaro Inui
    Thirty-seventh Conference on Neural Information Processing Systems Datasets and Benchmarks Track. Dec 2023
  20. Evaluating GPT in Japanese Bar Examination: Insights and Limitations
    Jungmin Choi, Jungo Kasai, Keisuke Sakaguchi
    Dec 2023
  21. Test-time Augmentation for Factual Probing
    Go Kamoda, Benjamin Heinzerling, Keisuke Sakaguchi, Kentaro Inui
    Findings of the Association for Computational Linguistics: EMNLP 2023. pp. 3650–3661, Dec 2023
  22. I2D2: Inductive Knowledge Distillation with NeuroLogic and Self-Imitation
    Chandra Bhagavatula, Jena D Hwang, Doug Downey, Ronan Le Bras, Ximing Lu, Keisuke Sakaguchi, Swabha Swayamdipta, Peter West, Yejin Choi
    Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). pp. 9614–9630, Jul 2023
  23. ELQA: A Corpus of Metalinguistic Questions and Answers about English
    Shabnam Behzad, Keisuke Sakaguchi, Nathan Schneider, Amir Zeldes
    Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). pp. 2031–2047, Jul 2023
  24. Evaluating GPT-4 and ChatGPT on Japanese Medical Licensing Examinations
    Jungo Kasai, Yuhei Kasai, Keisuke Sakaguchi, Yutaro Yamada, Dragomir Radev
    arXiv. 2023
  25. An Analysis of GPT-3’s Performance in Grammatical Error Correction
    Steven Coyne, Keisuke Sakaguchi
    arXiv. 2023
  26. Causal schema induction for knowledge discovery
    Michael Regan, Jena D. Hwang, Keisuke Sakaguchi, James Pustejovsky
    arXiv. 2023
  27. Do Deep Neural Networks Capture Compositionality in Arithmetic Reasoning?
    Keito Kudo, Yoichi Aoki, Tatsuki Kuribayashi, Ana Brassard, Masashi Yoshikawa, Keisuke Sakaguchi, Kentaro Inui
    Proceedings of the 2023 Conference of the European Chapter of the Association for Computational Linguistics. pp. 1351–1362, May 2023
  28. Empirical Investigation of Neural Symbolic Reasoning Strategies
    Yoichi Aoki, Keito Kudo, Tatsuki Kuribayashi, Ana Brassard, Masashi Yoshikawa, Keisuke Sakaguchi, Kentaro Inui
    Findings of the Association for Computational Linguistics: EACL 2023 . pp. 1154–1162, May 2023
    :trophy: Best Paper Award at AACL-IJCNLP 2022 Student Research Workshop
  29. Twist Decoding: Diverse Generators Guide Each Other
    Jungo Kasai, Keisuke Sakaguchi, Ronan Le Bras, Hao Peng, Ximing Lu, Dragomir Radev, Yejin Choi, Noah A. Smith
    Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP). pp. 4909–4923, Dec 2022
  30. Can Machines Learn Morality? The Delphi Experiment
    Liwei Jiang, Jena D. Hwang, Chandra Bhagavatula, Ronan Le Bras, Jenny Liang, Jesse Dodge, Keisuke Sakaguchi, Maxwell Forbes, Jon Borchardt, Saadia Gabriel, Yulia Tsvetkov, Oren Etzioni, Maarten Sap, Regina Rini, Yejin Choi
    arXiv. 2022
  31. Bidimensional Leaderboards: Generate and Evaluate Language Hand in Hand
    Jungo Kasai, Keisuke Sakaguchi, Ronan Le Bras, Lavinia Dunagan, Jacob Morrison, Alexander R. Fabbri, Yejin Choi, Noah A. Smith
    Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. pp. 3540–3557, Jul 2022
  32. Transparent Human Evaluation for Image Captioning
    Jungo Kasai, Keisuke Sakaguchi, Lavinia Dunagan, Jacob Morrison, Ronan Le Bras, Yejin Choi, Noah A. Smith
    Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. pp. 3464–3478, Jul 2022
  33. Interscript: A dataset for interactive learning of scripts through error feedback
    Niket Tandon, Aman Madaan, Peter Clark, Keisuke Sakaguchi, Yiming Yang
    The AAAI-22 Workshop on Interactive Machine Learning. 2022
  34. Improving Neural Model Performance through Natural Language Feedback on Their Explanations
    Aman Madaan, Niket Tandon, Dheeraj Rajagopal, Yiming Yang, Peter Clark, Keisuke Sakaguchi, Eduard H. Hovy
    arXiv. 2021
  35. GrammarTagger: A Multilingual, Minimally-Supervised Grammar Profiler for Language Education
    Masato Hagiwara, Joshua Tanner, Keisuke Sakaguchi
    arXiv. 2021
  36. proScript: Partially Ordered Scripts Generation
    Keisuke Sakaguchi, Chandra Bhagavatula, Ronan Le Bras, Niket Tandon, Peter Clark, Yejin Choi
    Findings of the Association for Computational Linguistics: EMNLP 2021. pp. 2138–2149, Nov 2021
  37. WinoGrande: An Adversarial Winograd Schema Challenge at Scale
    Keisuke Sakaguchi, Ronan Le Bras, Chandra Bhagavatula, Yejin Choi
    Commun. ACM. pp. 99–106, Aug 2021
  38. COMET-ATOMIC 2020: On Symbolic and Neural Commonsense Knowledge Graphs
    Jena D. Hwang, Chandra Bhagavatula, Ronan Le Bras, Jeff Da, Keisuke Sakaguchi, Antoine Bosselut, Yejin Choi
    Proceedings of the AAAI Conference on Artificial Intelligence. pp. 6384–6392, May 2021
  39. A Dataset for Tracking Entities in Open Domain Procedural Text
    Niket Tandon, Keisuke Sakaguchi, Bhavana Dalvi, Dheeraj Rajagopal, Peter Clark, Michal Guerquin, Kyle Richardson, Eduard Hovy
    Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP). pp. 6408–6417, Nov 2020
  40. Uncertain Natural Language Inference
    Tongfei Chen, Zhengping Jiang, Adam Poliak, Keisuke Sakaguchi, Benjamin Van Durme
    Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics. pp. 8772–8779, Jul 2020
  41. The Universal Decompositional Semantics Dataset and Decomp Toolkit
    Aaron Steven White, Elias Stengel-Eskin, Siddharth Vashishtha, Venkata Subrahmanyan Govindarajan, Dee Ann Reisinger, Tim Vieira, Keisuke Sakaguchi, Sheng Zhang, Francis Ferraro, Rachel Rudinger, Kyle Rawlins, Benjamin Van Durme
    Proceedings of the 12th Language Resources and Evaluation Conference. pp. 5698–5707, May 2020
  42. Abductive Commonsense Reasoning
    Chandra Bhagavatula, Ronan Le Bras, Chaitanya Malaviya, Keisuke Sakaguchi, Ari Holtzman, Hannah Rashkin, Doug Downey, Wen-tau Yih, Yejin Choi
    International Conference on Learning Representations. 2020
  43. WinoGrande: An Adversarial Winograd Schema Challenge at Scale
    Keisuke Sakaguchi, Ronan Le Bras, Chandra Bhagavatula, Yejin Choi
    Proceedings of the AAAI Conference on Artificial Intelligence. pp. 8732–8740, Apr 2020
    :trophy: Outstanding Paper Award (Single Best Paper)
  44. WIQA: A dataset for “What if...” reasoning over procedural text
    Niket Tandon, Bhavana Dalvi, Keisuke Sakaguchi, Peter Clark, Antoine Bosselut
    Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP). pp. 6076–6085, Nov 2019
  45. Efficient Online Scalar Annotation with Bounded Support
    Keisuke Sakaguchi, Benjamin Van Durme
    Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). pp. 208–218, Jul 2018
  46. Grammatical Error Correction with Neural Reinforcement Learning
    Keisuke Sakaguchi, Matt Post, Benjamin Van Durme
    Proceedings of the Eighth International Joint Conference on Natural Language Processing (Volume 2: Short Papers). pp. 366–372, Nov 2017
  47. GEC into the future: Where are we going and how do we get there?
    Keisuke Sakaguchi, Courtney Napoles, Joel Tetreault
    Proceedings of the 12th Workshop on Innovative Use of NLP for Building Educational Applications. pp. 180–187, Sep 2017
  48. Error-repair Dependency Parsing for Ungrammatical Texts
    Keisuke Sakaguchi, Matt Post, Benjamin Van Durme
    Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers). pp. 189–195, Jul 2017
    :trophy: Outstanding Paper Award (1.5% of the submissions)
  49. JFLEG: A Fluency Corpus and Benchmark for Grammatical Error Correction
    Courtney Napoles, Keisuke Sakaguchi, Joel Tetreault
    Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 2, Short Papers. pp. 229–234, Apr 2017
  50. Robsut Wrod Reocginiton via Semi-Character Recurrent Neural Network
    Keisuke Sakaguchi, Kevin Duh, Matt Post, Benjamin Van Durme
    Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence. pp. 3281–3287, 2017
  51. Universal Decompositional Semantics on Universal Dependencies
    Aaron Steven White, Drew Reisinger, Keisuke Sakaguchi, Tim Vieira, Sheng Zhang, Rachel Rudinger, Kyle Rawlins, Benjamin Van Durme
    Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing. pp. 1713–1723, Nov 2016
  52. There’s No Comparison: Reference-less Evaluation Metrics in Grammatical Error Correction
    Courtney Napoles, Keisuke Sakaguchi, Joel Tetreault
    Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing. pp. 2109–2115, Nov 2016
  53. Phrase Structure Annotation and Parsing for Learner English
    Ryo Nagata, Keisuke Sakaguchi
    Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). pp. 1837–1847, Aug 2016
  54. Reassessing the Goals of Grammatical Error Correction: Fluency Instead of Grammaticality
    Keisuke Sakaguchi, Courtney Napoles, Matt Post, Joel Tetreault
    Transactions of the Association for Computational Linguistics. pp. 169–182, 2016
  55. GLEU Without Tuning
    Courtney Napoles, Keisuke Sakaguchi, Matt Post, Joel R. Tetreault
    arXiv. 2016
  56. Ground Truth for Grammatical Error Correction Metrics
    Courtney Napoles, Keisuke Sakaguchi, Matt Post, Joel Tetreault
    Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 2: Short Papers). pp. 588–593, Jul 2015
  57. Effective Feature Integration for Automated Short Answer Scoring
    Keisuke Sakaguchi, Michael Heilman, Nitin Madnani
    Proceedings of the 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. pp. 1049–1054, May 2015
  58. Efficient Elicitation of Annotations for Human Evaluation of Machine Translation
    Keisuke Sakaguchi, Matt Post, Benjamin Van Durme
    Proceedings of the Ninth Workshop on Statistical Machine Translation. pp. 1–11, Jun 2014
  59. Discriminative Approach to Fill-in-the-Blank Quiz Generation for Language Learners
    Keisuke Sakaguchi, Yuki Arase, Mamoru Komachi
    Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers). pp. 238–242, Aug 2013
  60. NAIST at 2013 CoNLL Grammatical Error Correction Shared Task
    Ippei Yoshimoto, Tomoya Kose, Kensuke Mitsuzawa, Keisuke Sakaguchi, Tomoya Mizumoto, Yuta Hayashibe, Mamoru Komachi, Yuji Matsumoto
    Proceedings of the Seventeenth Conference on Computational Natural Language Learning: Shared Task. pp. 26–33, Aug 2013
  61. NAIST at the NLI 2013 Shared Task
    Tomoya Mizumoto, Yuta Hayashibe, Keisuke Sakaguchi, Mamoru Komachi, Yuji Matsumoto
    Proceedings of the Eighth Workshop on Innovative Use of NLP for Building Educational Applications. pp. 134–139, Jun 2013
  62. Construction of English MWE Dictionary and its Application to POS Tagging
    Yutaro Shigeto, Ai Azuma, Sorami Hisamoto, Shuhei Kondo, Tomoya Kose, Keisuke Sakaguchi, Akifumi Yoshimoto, Frances Yung, Yuji Matsumoto
    Proceedings of the 9th Workshop on Multiword Expressions. pp. 139–144, Jun 2013
  63. Joint English Spelling Error Correction and POS Tagging for Language Learners Writing
    Keisuke Sakaguchi, Tomoya Mizumoto, Mamoru Komachi, Yuji Matsumoto
    Proceedings of COLING 2012. pp. 2357–2374, Dec 2012
  64. NAIST at the HOO 2012 Shared Task
    Keisuke Sakaguchi, Yuta Hayashibe, Shuhei Kondo, Lis Kanashiro, Tomoya Mizumoto, Mamoru Komachi, Yuji Matsumoto
    Proceedings of the Seventh Workshop on Building Educational Applications Using NLP. pp. 281–288, Jun 2012