NLPExplorer

Masato Mita

Number of Papers:- 23

Number of Citations:- 0

First ACL Paper:- 2015

Latest ACL Paper:- 2024

Venues:-

NAACL

SIGDIAL

COLING

EMNLP

Findings

NLP-TEA

LREC

TACL

ACL

INLG

BEA

Co-Authors:-

Similar Authors:-

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

Masamune Kobayashi | Masato Mita | Mamoru Komachi |

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

Striking Gold in Advertising: Standardization and Exploration of Ad Text Generation ACL

Masato Mita | Soichiro Murakami | Akihiko Kato | Peinan Zhang |

Not Eliminate but Aggregate: Post-Hoc Control over Mixture-of-Experts to Address Shortcut Shifts in Natural Language Understanding TACL

Ukyo Honda | Tatsushi Oka | Peinan Zhang | Masato Mita |

Revisiting Meta-evaluation for Grammatical Error Correction TACL

Masamune Kobayashi | Masato Mita | Mamoru Komachi |

Cloze Quality Estimation for Language Assessment F i n d i n g s - E A C L

Zizheng Zhang | Masato Mita | Mamoru Komachi |

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

A Report on FCG GenChal 2022: Shared Task on Feedback Comment Generation for Language Learners INLG SIGDIAL

Ryo Nagata | Masato Hagiwara | Kazuaki Hanawa | Masato Mita |

ClozEx: A Task toward Generation of English Cloze Explanation F i n d i n g s - E M N L P

Zizheng Zhang | Masato Mita | Mamoru Komachi |

Construction of a Quality Estimation Dataset for Automatic Evaluation of Japanese Grammatical Error Correction LREC

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

Yujin Takahashi | Masahiro Kaneko | Masato Mita | Mamoru Komachi |

Do Grammatical Error Correction Models Realize Grammatical Generalization? Findings

Masato Mita | Hitomi Yanaka |

Shared Task on Feedback Comment Generation for Language Learners INLG

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

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

PheMT: A Phenomenon-wise Dataset for Machine Translation Robustness on User-Generated Contents COLING

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

Takumi Gotou | Ryo Nagata | Masato Mita | Kazuaki Hanawa |

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

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

Masato Hagiwara | Masato Mita |

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

Cross-Corpora Evaluation and Analysis of Grammatical Error Correction Models — Is Single-Corpus Evaluation Enough? NAACL

The AIP-Tohoku System at the BEA-2019 Shared Task ACL WS

Hiroki Asano | Masato Mita | Tomoya Mizumoto | Jun Suzuki |

Grammatical Error Correction Considering Multi-word Expressions NLP-TEA WS

Tomoya Mizumoto | Masato Mita | Yuji Matsumoto |