Masato Mita

According to our database, Masato Mita authored at least 24 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Large Language Models Are State-of-the-Art Evaluator for Grammatical Error Correction.

Masamune Kobayashi, Masato Mita, Mamoru Komachi

CoRR, 2024

Revisiting Meta-evaluation for Grammatical Error Correction.

Masamune Kobayashi, Masato Mita, Mamoru Komachi

CoRR, 2024

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., March, 2023

CAMERA: A Multimodal Dataset and Benchmark for Ad Text Generation.

Masato Mita, Soichiro Murakami, Akihiko Kato, Peinan Zhang

CoRR, 2023

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, 2023

ClozEx: A Task toward Generation of English Cloze Explanation.

Zizheng Zhang, Masato Mita, Mamoru Komachi

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Cloze Quality Estimation for Language Assessment.

Zizheng Zhang, Masato Mita, Mamoru Komachi

Proceedings of the Findings of the Association for Computational Linguistics: EACL 2023, 2023

Japanese Lexical Complexity for Non-Native Readers: A New Dataset.

Yusuke Ide, Masato Mita, Adam Nohejl, Hiroki Ouchi, Taro Watanabe

Proceedings of the 18th Workshop on Innovative Use of NLP for Building Educational Applications, 2023

2022

Towards Automated Document Revision: Grammatical Error Correction, Fluency Edits, and Beyond.

Masato Mita, Keisuke Sakaguchi, Masato Hagiwara, Tomoya Mizumoto, Jun Suzuki, Kentaro Inui

CoRR, 2022

Proficiency Matters Quality Estimation in Grammatical Error Correction.

Yujin Takahashi, Masahiro Kaneko, Masato Mita, Mamoru Komachi

CoRR, 2022

ProQE: Proficiency-wise Quality Estimation dataset for Grammatical Error Correction.

Yujin Takahashi, Masahiro Kaneko, Masato Mita, Mamoru Komachi

Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022

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

Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022

2021

Shared Task on Feedback Comment Generation for Language Learners.

Ryo Nagata, Masato Hagiwara, Kazuaki Hanawa, Masato Mita, Artem Chernodub, Olena Nahorna

Proceedings of the 14th International Conference on Natural Language Generation, 2021

Do Grammatical Error Correction Models Realize Grammatical Generalization?

Masato Mita, Hitomi Yanaka

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

2020

GitHub Typo Corpus: A Large-Scale Multilingual Dataset of Misspellings and Grammatical Errors.

Masato Hagiwara, Masato Mita

Proceedings of The 12th Language Resources and Evaluation Conference, 2020

A Self-Refinement Strategy for Noise Reduction in Grammatical Error Correction.

Masato Mita, Shun Kiyono, Masahiro Kaneko, Jun Suzuki, Kentaro Inui

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Taking the Correction Difficulty into Account in Grammatical Error Correction Evaluation.

Takumi Gotou, Ryo Nagata, Masato Mita, Kazuaki Hanawa

Proceedings of the 28th International Conference on Computational Linguistics, 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, Kentaro Inui

Proceedings of the 28th International Conference on Computational Linguistics, 2020

Encoder-Decoder Models Can Benefit from Pre-trained Masked Language Models in Grammatical Error Correction.

Masahiro Kaneko, Masato Mita, Shun Kiyono, Jun Suzuki, Kentaro Inui

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Preventing Critical Scoring Errors in Short Answer Scoring with Confidence Estimation.

Hiroaki Funayama, Shota Sasaki, Yuichiroh Matsubayashi, Tomoya Mizumoto, Jun Suzuki, Masato Mita, Kentaro Inui

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop, 2020

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

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

An Empirical Study of Incorporating Pseudo Data into Grammatical Error Correction.

Shun Kiyono, Jun Suzuki, Masato Mita, Tomoya Mizumoto, Kentaro Inui

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

The AIP-Tohoku System at the BEA-2019 Shared Task.

Hiroki Asano, Masato Mita, Tomoya Mizumoto, Jun Suzuki

Proceedings of the Fourteenth Workshop on Innovative Use of NLP for Building Educational Applications, 2019

2015

Grammatical Error Correction Considering Multi-word Expressions.

Tomoya Mizumoto, Masato Mita, Yuji Matsumoto

Proceedings of the 2nd Workshop on Natural Language Processing Techniques for Educational Applications, 2015