日本語文法誤り訂正における事前学習済みモデルを用いたデータ増強

Author:

Kato Hideyoshi1,Okabe Masaaki2,Kitano Michiharu3,Yadohisa Hiroshi2

Affiliation:

1. Marubeni Corporation

2. Doshisha University

3. JMDC Inc.

Publisher

Japanese Society for Artificial Intelligence

Subject

Artificial Intelligence,Software

Reference33 articles.

1. [浅野 18] 浅野 広樹, 水本 智也, 乾 健太郎: 文法性・流暢性・意味保存性に基づく文法誤り訂正の参照無し評価, 自然言語処理, Vol. 25, No. 5, pp. 555–576 (2018)

2. [Bryant 15] Bryant, C. and Ng, H. T.: How far are we from fully automatic high quality grammatical error correction?, in Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 1: Long Papers), pp. 697–707 (2015)

3. [Chollampatt 18] Chollampatt, S. and Ng, H. T.: A Multilayer Convolutional Encoder-Decoder Neural Network for Grammatical Error Correction, in Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence (2018)

4. [Dahlmeier 12] Dahlmeier, D. and Ng, H. T.: Better Evaluation for Grammatical Error Correction, in Proceedings of the 2012 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, pp. 568–572, Montréal, Canada (2012)

5. [Devlin 19] Devlin, J., Chang, M.-W., Lee, K., and Toutanova, K.: BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding, in Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers), pp. 4171–4186, Minneapolis, Minnesota (2019)

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