An effective joint model for chinese word segmentation and POS tagging

Author:

Wang Heng-Jun1,Si Nian-Wen1,Chen Cheng1

Affiliation:

1. Zhengzhou Institute of Information Science and Technology, Zhengzhou, China

Publisher

ACM Press

Reference23 articles.

1. Zheng, X., Chen, H., & Xu, T. 2013. Deep learning for Chinese word segmentation and POS tagging.Conference on Empirical Methods in Natural Language Processing.

2. Zhou, Q., Wen, L., Wang, X., Ma, L., & Wang, Y. 2016. A hierarchical lstm model for joint tasks.The 15thChina National Conference on Computational Linguistics & The 4thInternational Symposium on Natural Laguage Processing based on Naturally Annotated Big Data.

3. Martí, Nez, C., & Prodinger, H. 2002. Discriminative Training Methods for Hidden Markov Models: Theory and Experiments with Perceptron Algorithms.Acl-02 Conference on Empirical Methods in Natural Language Processing(Vol.410, pp.1--8). Association for Computational Linguistics.

4. Xue, N. 2003. Chinese word segmentation as character tagging.Computational Linguistics and Chinese Language, 8(8:1), 29--48.

5. Tseng, H., Chang, P., Andrew, G., Jurafsky, D., & Manning, C. 2005. A conditional random field word segmenter for sighan bakeoff 2005. (pp.168--171).

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