You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
"text": "International Conference\n\nHiroto Otake, Peinan Zhang, Yusuke Sakai, Masato Mita, Hiroki Ouchi, Taro Watanabe. BannerBench: Benchmarking Vision Language Models for Multi-Ad Selection with Human Preferences. Findings of EMNLP 2025.\nAoimi Koyama, Masato Mita, Su-Youn Yoon, Yasufumi Takama, Mamoru Komachi. “Targeted Syntactic Evaluation for Grammatical Error Correction.” Proceedings of the ACL 2025.\nMasato Mita, Ryo Yoshida, Yohei Oseki. “Developmentally-plausible Working Memory Shapes a Critical Period for Language Acquisition.” Proceedings of the ACL 2025.\nPeinan Zhang, Yusuke Sakai, Masato Mita, Hiroki Ouchi, Taro Watanabe. “AdTEC: A Unified Benchmark for Evaluating Text Quality in Search Engine Advertising.” Proceedings of the NAACL 2025.\nAyako Sato, Tosho Hirasawa, Hwichan Kim, Zhousi Chen, Teruaki Oka, Masato Mita, Mamoru Komachi. “DejaVu: Disambiguation evaluation dataset for English-JApanese machine translation on VisUal information.” Proceedings of the PACLIC 2024.\nMasato Mita, Soichiro Murakami, Akihiko Kato, Peinan Zhang. “Striking Gold in Advertising: Standardization and Exploration of Ad Text Generation.” Proceedings of the ACL 2024.\nMasamune Kobayashi, Masato Mita, Mamoru Komachi. “Large Language Models Are State-of-the-Art Evaluator for Grammatical Error Correction.” Proceedings of the BEA 2024.\nMasato Mita, Keisuke Sakaguchi, Masato Hagiwara, Tomoya Mizumoto, Jun Suzuki, Kentaro Inui. “Towards Automated Document Revision: Grammatical Error Correction, Fluency Edits, and Beyond.” Proceedings of the BEA 2024.\nGo Inoue, Akihiko Kato, Masato Mita, Ukyo Honda and Peinan Zhang. “CAMERA3: An Evaluation Dataset for Controllable Ad Text Generation in Japanese.” Proceedings of the LREC-COLING 2024.\nNaoya Ueda, Masato Mita, Teruaki Oka and Mamoru Komachi. “Token-length Bias in Minimal-pair Paradigm Datasets.” Proceedings of the LREC-COLING 2024.\nZizheng Zhang, Masato Mita, Mamoru Komachi. “ClozEx: A Task toward Generation of English Cloze Explanation.” Findings of the EMNLP 2023.\nRyo Nagata, Masato Hagiwara, Kazuaki Hanawa, Masato Mita. “A Report on FCG GenChal 2022: Shared Task on Feedback Comment Generation for Language Learners.” Proceedings of the INLG 2023.\nYusuke Ide, Masato Mita, Adam Nohejl, Hiroki Ouchi, and Taro Watanabe. “Japanese Lexical Complexity for Non-Native Readers: a New Dataset.” Proceedings of the BEA 2023.\nZizheng Zhang, Masato Mita, Mamoru Komachi. “Cloze Quality Estimation for Language Assessment.” Findings of EACL 2023.\nYujin Takahashi, Masahiro Kaneko, Masato Mita, Mamoru Komachi. “ProQE: Proficiency-wise Quality Estimation dataset for Grammatical Error Correction” Proceedings of the LREC 2022.\nDaisuke Suzuki, Yujin Takahashi, Ikumi Yamashita, Taichi Aida, Tosho Hirasawa, Michitaka Nakatsuji, Masato Mita, Mamoru Komachi. “Construction of a Quality Estimation Dataset for Automatic Evaluation of Japanese Grammatical Error Correction.” Proceedings of the LREC 2022.\nRyo Nagata, Masato Hagiwara, Kazuaki Hanawa, Masato Mita, Artem Chernodub, Olena Nahorna. “Shared Task on Feedback Comment Generation for Language Learners.” Proceedings of the INLG 2021.\nMasato Mita, Hitomi Yanaka. “Do Grammatical Error Correction Models Realize Grammatical Generalization?.” Findings of the ACL-IJCNLP 2021.\nTakumi Gotou, Ryo Nagata, Masato Mita, Kazuaki Hanawa. “Taking the Correction Difficulty into Account in Grammatical Error Correction Evaluation.” Proceedings of the COLING 2020.\nRyo 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 COLING 2020.\nMasato Mita, Shun Kiyono, Masahiro Kaneko, Jun Suzuki, Kentaro Inui. “A Self-Refinement Strategy for Noise Reduction in Grammatical Error Correction.” Findings of the EMNLP 2020.\nHiroaki Funayama, Shota Sasaki, Yuichiro Matsubayashi, Tomoya Mizumoto, Jun Suzuki, Masato Mita, Kentaro Inui. “Preventing Critical Scoring Errors in Short Answer Scoring with Confidence Estimation.” Proceedings of the ACL SRW 2020.\nMasahiro Kaneko, Masato Mita, Shun Kiyono, Jun Suzuki, Kentaro Inui. “Can Encoder-decoder Models Benefit from Pre-trained Language Representation in Grammatical Error Correction?.” Proceedings of the ACL 2020.\nMasato Hagiwara, Masato Mita. “GitHub Typo Corpus: A Large-Scale Multilingual Dataset of Misspellings and Grammatical Errors.” Proceedings of the LREC 2020.\nShun Kiyono, Jun Suzuki, Masato Mita, Tomoya Mizumoto, Kentaro Inui. “An Empirical Study of Incorporating Pseudo Data to Grammatical Error Correction.” Proceedings of EMNLP-IJCNLP 2019.\nHiroki Asano, Masato Mita, Tomoya Mizumoto, Jun Suzuki. “The AIP-Tohoku System at the BEA-2019 Shared Task.” Proceedings of the BEA 2019. 🏆 2nd place at the unrestricted track\nMasato 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 NAACL-HLT 2019.\nTomoya Mizumoto, Masato Mita, Yuji Matsumoto. “Grammatical Error Correction Considering Multi-word Expressions.” Proceedings of the TEA 2015."
29
+
},
30
+
{
31
+
"objectID": "publication.html#journal",
32
+
"href": "publication.html#journal",
33
+
"title": "Publications",
34
+
"section": "Journal",
35
+
"text": "Journal\n\nHongfei Wang, Zhousi Chen, Zizheng Zhang, Zhidong Ling, Xiaomeng Pan, Wenjie Duan, Masato Mita, Mamoru Komachi. “Revisiting the Evaluation for Chinese Grammatical Error Correction.” Journal of Advanced Computational Intelligence and Intelligent Informatics. Vol.28, No.6.\nUkyo Honda, Tatsushi Oka, Peinan Zhang, Masato Mita. “Not Eliminate but Aggregate: Post-Hoc Control over Mixture-of-Experts to Address Shortcut Shifts in Natural Language Understanding.” Transactions of the Association for Computational Linguistics (TACL).\nMasamune Kobayashi, Masato Mita, Mamoru Komachi. “Revisiting Meta-evaluation for Grammatical Error Correction.” Transactions of the Association for Computational Linguistics (TACL).\nZizheng Zhang, Masato Mita, Mamoru Komachi. “Cloze Quality Estimation for Language Assessment.” Journal of Natural Language Processing (in Japanese) Vol.31, No.2.\nAomi Koyama, Tomoshige Kiyuna, Kenji Kobayashi, Mio Arai, Masato Mita, Teruaki Oka and Mamoru Komachi. “Construction of an Error-Tagged Evaluation Corpus for Japanese Grammatical Error Correction.” Journal of Natural Language Processing (in Japanese) Vol.30, No.2.\nHongfei Wang, Michiki Kurosawa, Satoru Katsumata, Masato Mita, Mamoru Komachi. “Chinese Grammatical Error Correction Using Pre-trained Models and Pseudo Data.” Transactions on Asian and Low-Resource Language Information Processing (TALIP).\nIkumi Yamashita, Masahiro Kaneko, Masato Mita, Satoru Katsumata, Aizhan Imankulova, Mamoru Komachi. “Grammatical Error Correction with Pre-trained Model and Multilingual Learner Corpus for Cross-lingual Transfer Learning.” Journal of Natural Language Processing (in Japanese) Vol.29, No.2.\nRyo Fujii, Masato Mita, Kaori Abe, Kazuaki Hanawa, Makoto Morishita, Jun Suzuki, Kentaro Inui. “Phenomenon-wise Evaluation Dataset Towards Analyzing Robustness of Machine Translation Models.” Journal of Natural Language Processing (in Japanese) Vol.28, No.2.\nMasato Mita, Tomoya Mizumoto, Masahiro Kaneko, Ryo Nagata, Kentaro Inui. “Cross-Sectional Evaluation of Grammatical Error Correction Models.” Journal of Natural Language Processing (in Japanese) Vol.28, No.1."
0 commit comments