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Tree Kernel-based Zero Pronouns Recognition
基于树核函数的中文零指代项识别研究

Keywords: Zero anaphora,Zero pronoun recognition,Tree kernel,Machine learning
零指代,零指代项识别,树核函数,机器学习

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Abstract:

This paper introduced a learning approach of Tree Kernel-based Zero Pronouns Recognition, and presented a system based-upon this approach. In order to get the syntax structure tree, which includes the zero pronoun, it marks the sentences of the CTB manually, and constructs a basccorpus.Then, it proposed three different policies to get syntax structure tree, which can be trained by SVM as a feature. At last, it also presented a baseline system based on rules, with which we can compares. Experimental results show that the recognition rate of the approach based on tree kernel is better than the one of the System based on rules.

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