Auxiliary Lexicon Word Prediction for Cross-Domain Word Segmentation
Author:
Affiliation:
1. National Institute of Information and Communications Technology
2. Nara Institute of Science and Technology
3. RIKEN Center for Advanced Intelligence Project
Publisher
Association for Natural Language Processing
Link
https://www.jstage.jst.go.jp/article/jnlp/27/3/27_573/_pdf
Reference55 articles.
1. Cai, D. and Zhao, H. (2016).“Neural Word Segmentation Learning for Chinese.” In Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (ACL), pp. 409–420.
2. Cai, D., Zhao, H., Zhang, Z., Xin, Y., Wu, Y., and Huang, F. (2017).“Fast and Accurate Neural Word Segmentation for Chinese.” In Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (ACL), pp. 608–615.
3. Chen, X., Qiu, X., and Huang, X. (2017).“A Feature-enriched Neural Model for Joint Chinese Word Segmentation and Part-of-speech Tagging.” In Proceedings of the 26th International Joint Conference on Artificial Intelligence (IJCAI), pp. 3960–3966.
4. Chen, X., Qiu, X., Zhu, C., and Huang, X. (2015a).“Gated Recursive Neural Network for Chinese Word Segmentation.” In Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (ACL-IJCNLP), Vol. 1, pp. 1744–1753.
5. Chen, X., Qiu, X., Zhu, C., Liu, P., and Huang, X. (2015b).“Long Short-term Memory Neural Networks for Chinese Word Segmentation.” In Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing (EMNLP), pp. 1197–1206.
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