NLPExplorer

Masahiro Kaneko

Number of Papers:- 40

Number of Citations:- 3

First ACL Paper:- 2017

Latest ACL Paper:- 2024

Venues:-

NAACL

COLING

MTSummit

BEA

EMNLP

Findings

LREC

ACL

EACL

WMT

NGT

WAT

IJCNLP

AACL

Co-Authors:-

Similar Authors:-

Christoph Kilian Theil

Solving NLP Problems through Human-System Collaboration: A Discussion-based Approach F i n d i n g s - E A C L

Masahiro Kaneko | Graham Neubig | Naoaki Okazaki |

In-Contextual Gender Bias Suppression for Large Language Models F i n d i n g s - E A C L

Daisuke Oba | Masahiro Kaneko | Danushka Bollegala |

Likelihood-based Mitigation of Evaluation Bias in Large Language Models F i n d i n g s - A C L

How You Prompt Matters! Even Task-Oriented Constraints in Instructions Affect LLM-Generated Text Detection F i n d i n g s - E M N L P

Ryuto Koike | Masahiro Kaneko | Naoaki Okazaki |

Comparing Intrinsic Gender Bias Evaluation Measures without using Human Annotated Examples EACL

Masahiro Kaneko | Danushka Bollegala | Naoaki Okazaki |

Exploring Effectiveness of GPT-3 in Grammatical Error Correction: A Study on Performance and Controllability in Prompt-Based Methods BEA

Mengsay Loem | Masahiro Kaneko | Sho Takase | Naoaki Okazaki |

Reducing Sequence Length by Predicting Edit Spans with Large Language Models EMNLP

Masahiro Kaneko | Naoaki Okazaki |

The Impact of Debiasing on the Performance of Language Models in Downstream Tasks is Underestimated IJCNLP AACL

Masahiro Kaneko | Danushka Bollegala | Naoaki Okazaki |

Interpretability for Language Learners Using Example-Based Grammatical Error Correction ACL

Masahiro Kaneko | Sho Takase | Ayana Niwa | Naoaki Okazaki |

Sense Embeddings are also Biased – Evaluating Social Biases in Static and Contextualised Sense Embeddings ACL

Yi Zhou | Masahiro Kaneko | Danushka Bollegala |

Gender Bias in Masked Language Models for Multiple Languages NAACL

Masahiro Kaneko | Aizhan Imankulova | Danushka Bollegala | Naoaki Okazaki |

ExtraPhrase: Efficient Data Augmentation for Abstractive Summarization NAACL

Mengsay Loem | Sho Takase | Masahiro Kaneko | Naoaki Okazaki |

IMPARA: Impact-Based Metric for GEC Using Parallel Data COLING

Koki Maeda | Masahiro Kaneko | Naoaki Okazaki |

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

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

Debiasing Isn’t Enough! – on the Effectiveness of Debiasing MLMs and Their Social Biases in Downstream Tasks COLING

Masahiro Kaneko | Danushka Bollegala | Naoaki Okazaki |

NAIST-NICT-TIT WMT22 General MT Task Submission WMT

Gender Bias in Meta-Embeddings F i n d i n g s - E M N L P

Masahiro Kaneko | Danushka Bollegala | Naoaki Okazaki |

Debiasing Pre-trained Contextualised Embeddings EACL

Masahiro Kaneko | Danushka Bollegala |

Dictionary-based Debiasing of Pre-trained Word Embeddings EACL

Masahiro Kaneko | Danushka Bollegala |

Sentence Concatenation Approach to Data Augmentation for Neural Machine Translation NAACL

Comparison of Grammatical Error Correction Using Back-Translation Models NAACL

Aomi Koyama | Kengo Hotate | Masahiro Kaneko | Mamoru Komachi |

Studying The Impact Of Document-level Context On Simultaneous Neural Machine Translation MTSummit

Raj Dabre | Aizhan Imankulova | Masahiro Kaneko |

English-to-Japanese Diverse Translation by Combining Forward and Backward Outputs ACL NGT WS

Masahiro Kaneko | Aizhan Imankulova | Tosho Hirasawa | Mamoru Komachi |

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

Translation of New Named Entities from English to Chinese AACL WAT

TMU Japanese-English Multimodal Machine Translation System for WAT 2020 AACL WAT

Hiroto Tamura | Tosho Hirasawa | Masahiro Kaneko | Mamoru Komachi |

SOME: Reference-less Sub-Metrics Optimized for Manual Evaluations of Grammatical Error Correction COLING

Ryoma Yoshimura | Masahiro Kaneko | Tomoyuki Kajiwara | Mamoru Komachi |

Generating Diverse Corrections with Local Beam Search for Grammatical Error Correction COLING

Kengo Hotate | Masahiro Kaneko | Mamoru Komachi |

Cross-lingual Transfer Learning for Grammatical Error Correction COLING

Autoencoding Improves Pre-trained Word Embeddings COLING

Masahiro Kaneko | Danushka Bollegala |

Towards Multimodal Simultaneous Neural Machine Translation EMNLP WMT

Aizhan Imankulova | Masahiro Kaneko | Tosho Hirasawa | Mamoru Komachi |

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

Japanese-Russian TMU Neural Machine Translation System using Multilingual Model for WAT 2019 EMNLP WS

Aizhan Imankulova | Masahiro Kaneko | Mamoru Komachi |

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

Gender-preserving Debiasing for Pre-trained Word Embeddings ACL

Masahiro Kaneko | Danushka Bollegala |

Controlling Grammatical Error Correction Using Word Edit Rate ACL

Kengo Hotate | Masahiro Kaneko | Satoru Katsumata | Mamoru Komachi |

TMU Transformer System Using BERT for Re-ranking at BEA 2019 Grammatical Error Correction on Restricted Track ACL WS

Masahiro Kaneko | Kengo Hotate | Satoru Katsumata | Mamoru Komachi |

Grammatical-Error-Aware Incorrect Example Retrieval System for Learners of Japanese as a Second Language ACL WS

Mio Arai | Masahiro Kaneko | Mamoru Komachi |

TMU System for SLAM-2018 BEA NAACL WS

Masahiro Kaneko | Tomoyuki Kajiwara | Mamoru Komachi |

Grammatical Error Detection Using Error- and Grammaticality-Specific Word Embeddings IJCNLP

Masahiro Kaneko | Yuya Sakaizawa | Mamoru Komachi |