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Bring you to the past: Automatic Generation of Topically Relevant Event Chronicles.

T. Ge, W. Pei, H. Ji, S. Li, B. Chang, и Z. Sui. ACL (1), стр. 575-585. The Association for Computer Linguistics, (2015)

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A Refined HDP-Based Model for Unsupervised Chinese Word Segmentation.W. Pei, D. Han, и B. Chang. CCL, том 8202 из Lecture Notes in Computer Science, стр. 44-51. Springer, (2013)An Effective Neural Network Model for Graph-based Dependency Parsing.W. Pei, T. Ge, и B. Chang. ACL (1), стр. 313-322. The Association for Computer Linguistics, (2015)Feature-based Neural Language Model and Chinese Word Segmentation.M. Mansur, W. Pei, и B. Chang. IJCNLP, стр. 1271-1277. Asian Federation of Natural Language Processing / ACL, (2013)A Joint Model for Unsupervised Chinese Word Segmentation.M. Chen, B. Chang, и W. Pei. EMNLP, стр. 854-863. ACL, (2014)Distinguishing Specific and Daily Topics.T. Ge, W. Pei, B. Chang, и Z. Sui. APWeb, том 9313 из Lecture Notes in Computer Science, стр. 80-91. Springer, (2015)Bring you to the past: Automatic Generation of Topically Relevant Event Chronicles.T. Ge, W. Pei, H. Ji, S. Li, B. Chang, и Z. Sui. ACL (1), стр. 575-585. The Association for Computer Linguistics, (2015)Max-Margin Tensor Neural Network for Chinese Word Segmentation.W. Pei, T. Ge, и B. Chang. ACL (1), стр. 293-303. The Association for Computer Linguistics, (2014)Inducing Word Sense with Automatically Learned Hidden Concepts.B. Chang, W. Pei, и M. Chen. COLING, стр. 355-364. ACL, (2014)