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海量新闻信息处理中的语义角色标注研究(4)

[6] LAFFERTY J. McCALLUM A, PEREIRA F C N. Conditional random fields: probabilistic models for segmenting and labeling sequence data[C]//Proceedings of the 18th International Conference on Machine Learning 2001(ICML 2001). ACMPress, 2001: 282-289.

[7] DING J T, WANG H L, ZHOU G D, et al. On optimized combination of features in semantic role labeling[J]. Computer Applications and Software, 2009, 26(5): 17-21.

[8] XUE N W, PALMER M. Calibrating features for semantic role labeling[C]//Proceedings of the EMNLP. Stroudsburg: ACL,2004: 88-94.

[9] BOXWELL S A, MEHAY D, BREW C. Brutus: a semantic role labeling system incorporating CCG, CFG, and dependency features[C]//Proceedings of the Joint Conference of the 47th Annual Meeting of the ACL and the 4th International Joint Conference on Natural Language. ACM Press, 2009: 37-45.

[10] 刘挺,车万翔,李生. 基于最大熵分类器的语义角色标注[J]. 软件学报,2007,18(3):565-573. LIU T, CHE W X, LI S. Semantic role labeling with maximum entropy classifier[J]. Journal of Software, 2007, 18(3):565-573. (in Chinese)

[11] GILDEA D, PALMER M. The necessity of parsing for predicate argument recognition[C]//Proceedings of the 40th Meeting of the Association for Computational Linguistics. Philadelphia, PA: ACM Press, 2002: 239-246.

[12] MOSCHITTI A. A study on convolution kernels for shallow semantic parsing[C]//Proceedings of the 42nd Annual Meeting on Association for Computational Linguistics. Stroudsburg, PA: ACM Press, 2004: 335-342.

[13] CHE W X, ZHANG M, LIU T, et al. A hybrid convolution tree kernel for semantic role labeling[C]//Proceedings of the COLING/ACL on Main Conference Poster Sessions. Stroudsburg, PA: ACM Press, 2006: 73-80.

[14] ZHANG M, CHE W X, ZHOU G D, et al. Semantic role labeling using a grammar-driven convolution tree kernel[J]. IEEE Transaction on Audio, Speech and Language Processing, 2008, 16(7): 1315-1329.

[15] COHN T, BLUNSOM P. Semantic role labelling with tree conditional random fields[C]//Proceedings of the Ninth Conference on Computational Natural Language Learning. Stroudsburg, PA: ACM Press, 2005: 169-172.

[16] 董静,孙乐,吕元华,等. 基于线性链条件随机场模型的语义角色标注[C]//中国中文信息学会二十五周年学术会议,北京,2006:32-37.DONG J, SUN L, LU? Y H, et al. Semantic role labling based on conditional random[C]//Chinese Information Processing Society Conference Twenty-fifth Anniversary of China. Beijing, 2006: 32-37. (in Chinese)

[17] YU J D, FAN X Z, PANG W B, et al. Semantic role labeling based on conditional random fields[J]. Journal of Southeast University (English Edition), 2007, 23(3): 361-364.

[18] Matthew E. Peters, Mark Neumann, Mohit Iyyer, Matt Gardner, Christopher Clark, Kenton Lee, and Luke Zettlemoyer. 2018. Deep contextualized word representations. In NAACL.

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