Semantic interpretation of compound nominalization using automatic extracted paraphrase patterns

被引：0
|
作者：
Zhao, Jinglei [1 ]
Gao, Yanbo [1 ]
Liu, Hui [1 ]
Lu, Ruzhan [1 ]
机构：
[1] Shanghai Jiao Tong Univ, Dept Comp Sci, 800 Dongchuan Rd, Shanghai 200030, Peoples R China
来源：
PROCEEDINGS OF THE 2007 IEEE INTERNATIONAL CONFERENCE ON NATURAL LANGUAGE PROCESSING AND KNOWLEDGE ENGINEERING (NLP-KE'07) | 2007年
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The interpretation of nominal compounds is one of the most difficult problems in natural language processing. This paper proposes a new algorithm for the automatic interpretation of compound nominalizations in Chinese. A maximum entropy model is applied to label four coarse-grained roles involved in compound nommializations. The classification features used are automatic extracted functional lexicalized paraphrase patterns. The experimental result shows that the method is superior than previous works that use manually coded paraphrase patterns.
引用
收藏
页码：183 / +
页数：2
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