Affiliation:
1. Tokyo Metropolitan University
Publisher
Association for Natural Language Processing
Subject
General Earth and Planetary Sciences,General Environmental Science
Reference144 articles.
1. 浅原正幸,金山博,宮尾祐介,田中貴秋,大村舞,村脇有吾,松本裕治 (2019). Universal Dependencies 日本語コーパス. 自然言語処理, 26 (1), pp. 3–36. [M. Asahara et al. (2019). Japanese Universal Dependencies Corpora. Journal of Natural Language Processing, 26 (1), pp. 3–36.].
2. 浅野広樹,水本智也,乾健太郎 (2018). 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, 25 (5), pp. 555–576. [H. Asano et al. (2018). A Reference-less Evaluation Metric Based on Grammaticality, Fluency, and Meaning Preservation in Grammatical Error Correction. Journal of Natural Language Processing, 25 (5), pp. 555–576.].
3. Bahdanau, D., Cho, K., and Bengio, Y. (2015). “Neural Machine Translation by Jointly Learning to Align and Translate.” In Proceedings of the 3rd International Conference on Learning Representations.
4. Boyd, A. (2018). “Using Wikipedia Edits in Low Resource Grammatical Error Correction.” In Proceedings of the 4th Workshop on Noisy User-generated Text, pp. 79–84.
5. Brockett, C., Dolan, W. B., and Gamon, M. (2006). “Correcting ESL Errors Using Phrasal SMT Techniques.” In Proceedings of the 21st International Conference on Computational Linguistics and 44th Annual Meeting of the Association for Computational Linguistics, pp. 249–256.