Recognizing Textual Entailment based on WordNet

被引：3
|
作者：
Feng, Jin [1 ]
Zhou, Yiming [1 ]
Martin, Trevor [2 ]
机构：
[1] Beihang Univ, Dept Comp Sci, Beijing 100191, Peoples R China
[2] Univ Bristol, Dept Engn Math, Bristol BS8 1TR, Avon, England
来源：
2008 INTERNATIONAL SYMPOSIUM ON INTELLIGENT INFORMATION TECHNOLOGY APPLICATION, VOL II, PROCEEDINGS | 2008年
关键词：
D O I：
10.1109/IITA.2008.88
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Textual Entailment Recognition (RTE) is one of the fundamental problems in many natural language processing applications. This paper proposes anew method for lexical entailment measure which is based on exploiting the information in the WordNet glosses. Further we perforin textual entailment recognition based on this method and cast the RTE problem to be a classification problem. The experimental result on RTE challenge data sets indicates that our method is promising.
引用
收藏
页码：27 / +
页数：3
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