Grammatical Error Correction Considering Multi-word Expressions. - Tomoya Mizumoto; Masato Mita; Yuji Matsumoto 001 (NLP-TEA@ACL/IJCNLP, 2015)

The AIP-Tohoku System at the BEA-2019 Shared Task. - Hiroki Asano; Masato Mita; Tomoya Mizumoto; Jun Suzuki 001 (BEA@ACL, 2019)

An Empirical Study of Incorporating Pseudo Data into Grammatical Error Correction. - Shun Kiyono; Jun Suzuki 001; Masato Mita; Tomoya Mizumoto; Kentaro Inui (EMNLP/IJCNLP (1), 2019)

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 (NAACL-HLT (1), 2019)

Preventing Critical Scoring Errors in Short Answer Scoring with Confidence Estimation. - Hiroaki Funayama; Shota Sasaki; Yuichiroh Matsubayashi; Tomoya Mizumoto; Jun Suzuki 001; Masato Mita; Kentaro Inui (ACL (student), 2020)

Encoder-Decoder Models Can Benefit from Pre-trained Masked Language Models in Grammatical Error Correction. - Masahiro Kaneko; Masato Mita; Shun Kiyono; Jun Suzuki 001; Kentaro Inui (ACL, 2020)

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 001; Kentaro Inui (COLING, 2020)

Taking the Correction Difficulty into Account in Grammatical Error Correction Evaluation. - Takumi Gotou; Ryo Nagata; Masato Mita; Kazuaki Hanawa (COLING, 2020)

A Self-Refinement Strategy for Noise Reduction in Grammatical Error Correction. - Masato Mita; Shun Kiyono; Masahiro Kaneko; Jun Suzuki 001; Kentaro Inui (EMNLP (Findings), 2020)

GitHub Typo Corpus: A Large-Scale Multilingual Dataset of Misspellings and Grammatical Errors. - Masato Hagiwara; Masato Mita (LREC, 2020)

Do Grammatical Error Correction Models Realize Grammatical Generalization? - Masato Mita; Hitomi Yanaka (ACL/IJCNLP (Findings), 2021)

Shared Task on Feedback Comment Generation for Language Learners. - Ryo Nagata; Masato Hagiwara; Kazuaki Hanawa; Masato Mita; Artem Chernodub; Olena Nahorna (INLG, 2021)

Construction of a Quality Estimation Dataset for Automatic Evaluation of Japanese Grammatical Error Correction. - Daisuke Suzuki; Yujin Takahashi; Ikumi Yamashita; Taichi Aida; Tosho Hirasawa; Michitaka Nakatsuji; Masato Mita; Mamoru Komachi (LREC, 2022)

ProQE: Proficiency-wise Quality Estimation dataset for Grammatical Error Correction. - Yujin Takahashi; Masahiro Kaneko; Masato Mita; Mamoru Komachi (LREC, 2022)

Proficiency Matters Quality Estimation in Grammatical Error Correction. - Yujin Takahashi; Masahiro Kaneko; Masato Mita; Mamoru Komachi (CoRR, 2022)

Japanese Lexical Complexity for Non-Native Readers: A New Dataset. - Yusuke Ide; Masato Mita; Adam Nohejl; Hiroki Ouchi; Taro Watanabe (BEA@ACL, 2023)

Cloze Quality Estimation for Language Assessment. - Zizheng Zhang; Masato Mita; Mamoru Komachi (EACL (Findings), 2023)

ClozEx: A Task toward Generation of English Cloze Explanation. - Zizheng Zhang; Masato Mita; Mamoru Komachi (EMNLP (Findings), 2023)

A Report on FCG GenChal 2022: Shared Task on Feedback Comment Generation for Language Learners. - Ryo Nagata; Masato Hagiwara; Kazuaki Hanawa; Masato Mita (INLG (Generation Challenges), 2023)

CAMERA: A Multimodal Dataset and Benchmark for Ad Text Generation. - Masato Mita; Soichiro Murakami; Akihiko Kato; Peinan Zhang (CoRR, 2023)

Chinese Grammatical Error Correction Using Pre-trained Models and Pseudo Data. - Hongfei Wang; Michiki Kurosawa; Satoru Katsumata; Masato Mita; Mamoru Komachi (ACM Trans. Asian Low Resour. Lang. Inf. Process., 2023)

Striking Gold in Advertising: Standardization and Exploration of Ad Text Generation. - Masato Mita; Soichiro Murakami; Akihiko Kato; Peinan Zhang (ACL (1), 2024)

Large Language Models Are State-of-the-Art Evaluator for Grammatical Error Correction. - Masamune Kobayashi; Masato Mita; Mamoru Komachi (BEA, 2024)

Towards Automated Document Revision: Grammatical Error Correction, Fluency Edits, and Beyond. - Masato Mita; Keisuke Sakaguchi; Masato Hagiwara; Tomoya Mizumoto; Jun Suzuki 001; Kentaro Inui (BEA, 2024)

CAMERA³: An Evaluation Dataset for Controllable Ad Text Generation in Japanese. - Go Inoue; Akihiko Kato; Masato Mita; Ukyo Honda; Peinan Zhang (LREC/COLING, 2024)

Token-length Bias in Minimal-pair Paradigm Datasets. - Naoya Ueda; Masato Mita; Teruaki Oka; Mamoru Komachi (LREC/COLING, 2024)

FaithCAMERA: Construction of a Faithful Dataset for Ad Text Generation. - Akihiko Kato; Masato Mita; Soichiro Murakami; Ukyo Honda; Sho Hoshino; Peinan Zhang (CoRR, 2024)

Not Eliminate but Aggregate: Post-Hoc Control over Mixture-of-Experts to Address Shortcut Shifts in Natural Language Understanding. - Ukyo Honda; Tatsushi Oka; Peinan Zhang; Masato Mita (Trans. Assoc. Comput. Linguistics, 2024)

Revisiting Meta-evaluation for Grammatical Error Correction. - Masamune Kobayashi; Masato Mita; Mamoru Komachi (Trans. Assoc. Comput. Linguistics, 2024)

Revisiting the Evaluation for Chinese Grammatical Error Correction. - Hongfei Wang; Zhousi Chen; Zizheng Zhang; Zhidong Ling; Xiaomeng Pan; Wenjie Duan; Masato Mita; Mamoru Komachi (J. Adv. Comput. Intell. Intell. Informatics, 2024)

Targeted Syntactic Evaluation for Grammatical Error Correction. - Aomi Koyama; Masato Mita; Su-Youn Yoon; Yasufumi Takama; Mamoru Komachi (ACL (1), 2025)

Developmentally-plausible Working Memory Shapes a Critical Period for Language Acquisition. - Masato Mita; Ryo Yoshida; Yohei Oseki (ACL (1), 2025)

AdTEC: A Unified Benchmark for Evaluating Text Quality in Search Engine Advertising. - Peinan Zhang; Yusuke Sakai 010; Masato Mita; Hiroki Ouchi; Taro Watanabe (NAACL (Long Papers), 2025)

LCTG Bench: LLM Controlled Text Generation Benchmark. - Kentaro Kurihara; Masato Mita; Peinan Zhang; Shota Sasaki; Ryosuke Ishigami; Naoaki Okazaki (CoRR, 2025)