计算机科学 ›› 2011, Vol. 38 ›› Issue (1): 214-216.
• 人工智能 • 上一篇 下一篇
黄李伟,孔芳,朱巧明,周国栋
出版日期:
发布日期:
基金资助:
HUANG Li-wei,KONG Fang,ZHU Qiao-ming,ZHOU Guo-dong
Online:
Published:
摘要: 介绍了一种基于树核函数的零指代项识别方法,并给出了具体的实现系统。为了能够裁剪出包含零指代项的句法结构树,首先对CTB的语料进行了相关的人工标注,构建了一个基准语料库;然后,提出了3种不同的裁剪策略,获得了零指代项的结构化信息,生成了零指代项分类器;最后,构建了一个基于规则的原型系统,作为研究内容的实验对象。实验结果显示,提出的基于树核函数的零指代项识别方法获得的识别率明显优于基于规则的原型系统。
关键词: 零指代,零指代项识别,树核函数,机器学习
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.
Key words: Zero anaphora, Zero pronoun recognition,Tree kernel, Machine learning
黄李伟,孔芳,朱巧明,周国栋. 基于树核函数的中文零指代项识别研究[J]. 计算机科学, 2011, 38(1): 214-216. https://doi.org/
HUANG Li-wei,KONG Fang,ZHU Qiao-ming,ZHOU Guo-dong. Tree Kernel-based zero Pronouns Recognition[J]. Computer Science, 2011, 38(1): 214-216. https://doi.org/
0 / / 推荐
导出引用管理器 EndNote|Reference Manager|ProCite|BibTeX|RefWorks
链接本文: https://www.jsjkx.com/CN/
https://www.jsjkx.com/CN/Y2011/V38/I1/214
Cited