acl acl2013 acl2013-164 acl2013-164-reference knowledge-graph by maker-knowledge-mining

164 acl-2013-FudanNLP: A Toolkit for Chinese Natural Language Processing


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Author: Xipeng Qiu ; Qi Zhang ; Xuanjing Huang

Abstract: The growing need for Chinese natural language processing (NLP) is largely in a range of research and commercial applications. However, most of the currently Chinese NLP tools or components still have a wide range of issues need to be further improved and developed. FudanNLP is an open source toolkit for Chinese natural language processing (NLP) , which uses statistics-based and rule-based methods to deal with Chinese NLP tasks, such as word segmentation, part-ofspeech tagging, named entity recognition, dependency parsing, time phrase recognition, anaphora resolution and so on.


reference text

K. Crammer, R. McDonald, and F. Pereira. 2005. Scalable large-margin online learning for structured classification. In NIPS Workshop on Learning With Structured Outputs. Citeseer. Koby Crammer, Ofer Dekel, Joseph Keshet, Shai Shalev-Shwartz, and Yoram Singer. 2006. Online passive-aggressive algorithms. Journal of Machine Learning Research, 7:551–585. Z. Dong and Q. Dong. 2006. Hownet And the Computation of Meaning. World Scientific Publishing Co., Inc. River Edge, NJ, USA. J. Hajič, M. Ciaramita, R. Johansson, D. Kawahara, M.A. Martí, L. Màrquez, A. Meyers, J. Nivre, S. Padó, J. Štěpánek, et al. 2009. The CoNLL-2009 shared task: Syntactic and semantic dependencies in multiple languages. In Proceedings of the Thirteenth Conference on Computational Natural Language Learning: Shared Task, pages 1–18. Association for Computational Linguistics. John D. Lafferty, Andrew McCallum, and Fernando C. N. Pereira. 2001. Conditional ran- dom fields: Probabilistic models for segmenting and labeling sequence data. In Proceedings of the Eighteenth International Conference on Machine Learning. Andrew Kachites McCallum. 2002. Mallet: A machine learning for language toolkit. http://mallet.cs.umass.edu. H.T. Ng and J.K. Low. 2004. Chinese partof-speech tagging: one-at-a-time or all-at-once? word-based or character-based. In Proceedings of EMNLP, volume 4. F. Peng, F. Feng, and A. McCallum. 2004. Chinese segmentation and new word detection using conditional random fields. Proceedings of the 20th international conference on Computational Linguistics. F. Xia, 2000. The part-of-speech tagging guidelines for the penn chinese treebank (3. 0). H. Yamada and Y. Matsumoto. 2003. Statistical dependency analysis with support vector machines. In Proceedings of the International Workshop on Parsing Technologies (IWPT), volume 3. S. Yu, J. Lu, X. Zhu, H. Duan, S. Kang, H. Sun, H. Wang, Q. Zhao, and W. Zhan. 2001. Processing norms of modern chinese corpus. Technical report, Technical report. 54