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J-GLOBAL ID:201902287941512310   Reference number:19A0298339

低頻度語学習手法を用いたConvolutional Encoder-Decoderモデルによる文法誤り訂正

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Volume: 2018  Issue: NL-238  Page: Vol.2018-NL-238,No.4,1-5 (WEB ONLY)  Publication year: Dec. 04, 2018 
JST Material Number: U0451A  Document type: Proceedings
Article type: 原著論文  Country of issue: Japan (JPN)  Language: JAPANESE (JA)
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Natural language processing  ,  Artificial intelligence 
Reference (10):
  • Ng, H. T., Wu, S. M., Briscoe, T., Hadiwinoto, C., Susanto, R. H. and Bryant, C.: The CoNLL-2014 Shared Task on Grammatical Error Correction, Eighteenth Conference on Computational Natural Language Learning: Shared Task, pp. 1-14 (2014).
  • Chollampatt, S., Taghipour, K. and Ng, H. T.: Neural Network Translation Models for Grammatical Error Correction, Twenty-Fifth International Joint Conference on Artificial Intelligence (IJCAI-16), pp. 2768-2774 (2016).
  • Xie, Z., Avati, A., Arivazhagan, N., Jurafsky, D. and Ng, A. Y.: Neural Language Correction with CharacterBased Attention, CoRR, Vol. abs/1603.09727, (2016).
  • Ji, J., Wang, Q., Toutanova, K., Gong, Y., Truong, S. and Gao, J.: A Nested Attention Neural Hybrid Model for Grammatical Error Correction, CoRR, Vol. abs/1707.02026, (2017).
  • Chollampatt, S. and Ng, H. T.: A Multilayer Convolutional Encoder-Decoder Neural Network for Grammatical Error Correction (2018).
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