Citation: | HAN Lei, LUO Sen-lin, CHEN Qian-rou, PAN Li-min. Fast Chinese syntactic parsing method based on conditional random fields[J].JOURNAL OF BEIJING INSTITUTE OF TECHNOLOGY, 2015, 24(4): 519-525.doi:10.15918/j.jbit1004-0579.201524.0414 |
[1] |
Xue N, Xia F, Chiou F, et al. The Penn Chinese TreeBank: phrase structure annotation of a large corpus [J]. Natural Language Engineering, 2005, 11(02): 207-38.
|
[2] |
Bikel D M, Chiang D. Two statistical parsing models applied to the Chinese Treebank //Proceedings of the second workshop on Chinese language processing: held in conjunction with the 38th Annual Meeting of the Association for Computational Linguistics-Volume 12. Stroudsburg, PA, USA: Association for Computational Linguistics, 2000: 1-6.
|
[3] |
Bikel D M. On the parameter space of generative lexicalized statistical parsing models[D]. PhiLadelphia: University of Pennsylvania, 2004.
|
[4] |
Chiang D, Bikel D M. Recovering latent information in treebanks //Proceedings of the 19th international conference on Computational linguistics-Volume 1, Stroudsbury, PA, USA: Association for Computational Linguistics, 2002: 1-7.
|
[5] |
Levy R, Manning C. Is it harder to parse Chinese, or the Chinese Treebank? //Proceedings of the 41st Annual Meeting on Association for Computational Linguistics-Volume 1. Stroudsburg, PA, USA: Association for Computational Linguistics, 2003: 439-446.
|
[6] |
Xiong D, Li S, Liu Q, et al. Parsing the penn chinese treebank with semantic knowledge[M]//Natural Language Processing-IJCNLP 2005. Berlin, Heidelberg: Springer, 2005: 70-81.
|
[7] |
Jiang Zhengping. Statistical Chinese parsing[D]. Singapore: National University of Singapore, 2004.
|
[8] |
Mi H T, Xiong D Y, Liu Q. Research on strategies for integrating Chinese lexical analysis and parsing[J]. Journal of Chinese Information Processing, 2008, 22(2): 10-17. (in Chinese)
|
[9] |
Chen Gong, Luo Senlin, Chen Kaijiang, et al. Method for layered Chinese parsing based on subsidiary context and lexical information [J]. Journal of Chinese Information Processing, 2012, 26(01): 9-15. (in Chinese)
|
[10] |
Yamada H, Matsumoto Y. Statistical dependency analysis with support vector machines [J]. Machine Learning, 1999, 34(1-3): 151-175.
|
[11] |
Sagae K, Lavie A. A classifier-based parser with linear run-time complexity //Parsing 05 Proceedings of the Ninth International Workshop on Parsing Technology. Stroudsburg, PA, USA: Association for Computational Linguistics, 2005: 125-132.
|
[12] |
Cheng Y, Asahara M, Matsumoto Y. Machine learning-based dependency analyzer for Chinese [J]. Journal of Chinese Language and Computing, 2005, 15(1): 13-24.
|
[13] |
Wang M, Sagae K, Mitamura T. A fast, accurate deterministic parser for Chinese //Proceeding ACL-44 Proceedings of the 21st International Conference on Computational Linguistics and the 44th annual meeting of the Association for Computational Linguistics. Stroudsburg, PA, USA: Association for Computational Linguistics, 2006: 425-432.
|
[14] |
Lafferty J, McCallum A, Pereira F. Conditional random fields: probabilistic models for segmenting and labeling sequence data //the Eighteenth International Conference on Machine Learning, San Francisco, CA, USA, 2012.
|
[15] |
Luo Senlin, Liu Yingying, Feng Yang, et al. Method of building BFS-CTC: a Chinese tagged corpus of sentential semantic structure [J]. Transactions of Beijing Institute of Technology, 2012, 32(03): 311-315. (in Chinese)
|
[16] |
Liu Yingying, Luo Senlin, Feng Yang, et al. BFS-CTC: a Chinese corpus of sentential semantic structure [J]. Journal of Chinese Information Processing, 2013, (27): 72-80. (in Chinese)
|
[17] |
Charniak E. Statistical parsing with a context-free grammar and word statistics //the Fourteenth National Conference on Artificial Intelligence and Ninth Conference on Innovative Applications of Artificial Intelligence, Providence, Rhode Island, 1997.
|