NLPExplorer

Masahiro Kaneko

Number of Papers:- 27

Number of Citations:- 3

First ACL Paper:- 2017

Latest ACL Paper:- 2022

Venues:-

Findings

EMNLP

MTSummit

BEA

NAACL

AACL

EACL

ACL

NGT

WAT

WMT

IJCNLP

COLING

Co-Authors:-

Similar Authors:-

Christoph Kilian Theil

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 |

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 |