Papers - NAGATA Ryo
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Variance Matters: Detecting Semantic Differences without Corpus/Word Alignment. Reviewed
Ryo Nagata, Hiroya Takamura, Naoki Otani, Yoshifumi Kawasaki
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing 15609 - 15622 2023
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Exploring Methods for Generating Feedback Comments for Writing Learning Reviewed
Kazuaki Hanawa, Ryo Nagata, Kentaro Inui
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing 9719 - 9730 2021
Publisher：Association for Computational Linguistics
DOI： 10.18653/v1/2021.emnlp-main.766
Other Link： https://dblp.uni-trier.de/rec/conf/emnlp/2021-1
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Shared Task on Feedback Comment Generation for Language Learners. Reviewed
Ryo Nagata, Masato Hagiwara, Kazuaki Hanawa, Masato Mita, Artem Chernodub, Olena Nahorna
Proceedings of the 14th International Conference on Natural Language Generation 320 - 324 2021
Authorship：Lead author Publisher：Association for Computational Linguistics
Other Link： https://dblp.uni-trier.de/conf/inlg/2021
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Exploring the Capacity of a Large-scale Masked Language Model to Recognize Grammatical Errors. Reviewed
Ryo Nagata, Manabu Kimura, Kazuaki Hanawa
Findings of 60th Annual Meeting of the Association for Computational Linguistics 2021
Authorship：Lead author
Other Link： https://dblp.uni-trier.de/db/journals/corr/corr2108.html#abs-2108-12216
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Taking the Correction Difficulty into Account in Grammatical Error Correction Evaluation. Reviewed
Takumi Gotou, Ryo Nagata, Masato Mita, Kazuaki Hanawa
Proceedings of the 28th International Conference on Computational Linguistics(COLING) 2085 - 2095 2020
Publisher：International Committee on Computational Linguistics
DOI： 10.18653/v1/2020.coling-main.188
Other Link： https://dblp.uni-trier.de/conf/coling/2020
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A Computational Approach to Quantifying Grammaticization of English Deverbal Prepositions.
Ryo Nagata, Yoshifumi Kawasaki, Naoki Otani, Hiroya Takamura
LREC/COLING 211 - 220 2024
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A Report on FCG GenChal 2022: Shared Task on Feedback Comment Generation for Language Learners.
Ryo Nagata, Masato Hagiwara, Kazuaki Hanawa, Masato Mita
Proceedings of the 16th International Natural Language Generation Conference: Generation Challenges 45 - 52 2023
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Generating Dialog Responses with Specified Grammatical Items for Second Language Learning. Reviewed
Yuki Okano, Kotaro Funakoshi, Ryo Nagata, Manabu Okumura
Proceedings of the 18th Workshop on Innovative Use of NLP for Building Educational Applications 184 - 194 2023
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Revisiting Statistical Laws of Semantic Shift in Romance Cognates.
Yoshifumi Kawasaki, Maëlys Salingre, Marzena Karpinska, Hiroya Takamura, Ryo Nagata
COLING 141 - 151 2022
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Cross-Sectional Evaluation of Grammatical Error Correction Models Reviewed
Masato Mita, Tomoya Mizumoto, Masahiro Kaneko, Ryo Nagata, Kentaro Inui
Journal of Natural Language Processing 28 ( 1 ) 160 - 182 2021
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Creating Corpora for Research in Feedback Comment Generation.
Ryo Nagata, Kentaro Inui, Shin'ichiro Ishikawa
Proceedings of the 12th Language Resources and Evaluation Conference 340 - 345 2020
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Analytic Score Prediction and Justification Identification in Automated Short Answer Scoring.
Tomoya Mizumoto, Hiroki Ouchi, Yoriko Isobe, Paul Reisert, Ryo Nagata, Satoshi Sekine, Kentaro Inui
Proceedings of 15th Workshop on Innovative Use of NLP for Building Educational Applications 316 - 325 2019
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Masato Mita, Tomoya Mizumoto, Masahiro Kaneko, Ryo Nagata, Kentaro Inui
Proceedings of 17th Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies 1309 - 1314 2019
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Is the Simplest Chatbot Effective in English Writing Learning Assistance?
Ryo Nagata, Tomoya Hashiguchi, Driss Sadoun
Proceedings of 16th International Conference of the Pacific Association for Computational Linguistics 245 - 256 2019
Joint Work
DOI： 10.1007/978-981-15-6168-9_21
Other Link： https://dblp.uni-trier.de/db/conf/pacling/pacling2019.html#NagataHS19
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Toward a Task of Feedback Comment Generation for Writing Learning.
Ryo Nagata
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing 3204 - 3213 2019
Single Work
DOI： 10.18653/v1/D19-1316
Other Link： https://dblp.uni-trier.de/db/conf/emnlp/emnlp2019-1.html#Nagata19
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A POS Tagging Model Adapted to Learner English.
Ryo Nagata, Tomoya Mizumoto, Yuta Kikuchi, Yoshifumi Kawasaki, Kotaro Funakoshi
Proceedings of 4th Workshop on Noisy User-generated Text 39 - 48 2018
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Exploring the Influence of Spelling Errors on Lexical Variation Measures.
Ryo Nagata, Taisei Sato, Hiroya Takamura
Proceedings of 27th International Conference on Computational Linguistics 2391 - 2398 2018
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Phrase Structure Annotation and Parsing for Learner English
Keisuke Sakaguchi, Ryo Nagata
Journal of Natural Language Processing 24 ( 3 ) 491 - 514 2017.6
Joint Work
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A Method for Correcting Preposition Errors in Learner English with Feedback Messages.
Ryo Nagata, Edward W. D. Whittaker
IEICE Trans. Inf. Syst. 100-D ( 6 ) 1280 - 1289 2017
Joint Work
DOI： 10.1587/transinf.2016EDP7380
Other Link： https://dblp.uni-trier.de/db/journals/ieicet/ieicet100d.html#NagataW17
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Analyzing the Impact of Spelling Errors on POS-Tagging and Chunking in Learner English.
Tomoya Mizumoto, Ryo Nagata
Proceedings of 4th Workshop on Natural Language Processing Techniques for Educational Applications 54 - 58 2017