Corpus Expansion for Neural CWS on Microblog-Oriented Data with λ-Active Learning Approach
Author:
Affiliation:
1. School of Computer Science and Technology, Dalian University of Technology
2. Department of Information Science & Intelligent Systems, Tokushima University
Publisher
Institute of Electronics, Information and Communications Engineers (IEICE)
Subject
Artificial Intelligence,Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Hardware and Architecture,Software
Link
https://www.jstage.jst.go.jp/article/transinf/E101.D/3/E101.D_2017EDP7239/_pdf
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2. [2] D. Huang and D. Tong, “Context Information and Fragments Based Cross-Domain Word Segmentation,” China Communications, vol.9, no.3, pp.49-57, 2012.
3. [3] X. Zheng, H. Chen, and T. Xu, “Deep Learning for Chinese Word Segmentation and POS Tagging,” Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP), ACL, Seattle, Washington, USA, pp.647-657, 2013.
4. [4] W. Pei, T. Ge, and B. Chang, “Max-Margin Tensor Neural Network for Chinese Word Segmentation,” Proceedings of the 52nd Annual Meeting of the ACL, Baltimore, Maryland, pp.293-303, 2014. 10.3115/v1/p14-1028
5. [5] J. Xu and X. Sun, “Dependency-based gated recursive neural network for Chinese word segmentation,” Proceedings of the 54th Annual Meeting of the ACL, Berlin, Germany, pp.567-572, 2016. 10.18653/v1/p16-2092
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