The role and resolution of textual entailment in Natural Language Processing applications

被引：0
作者：
Kozareva, Zornitsa [1 ]
Montoyo, Andres [1 ]
机构：
[1] Univ Alicante, Dept Lenguajes & Sistemas Informat, E-03080 Alicante, Spain
来源：
NATURAL LANGUAGE PROCESSING AND INFORMATION SYSTEMS, PROCEEDINGS | 2006年 / 3999卷
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：
A fundamental phenomenon in Natural Language Processing concerns the semantic variability of expressions. Identifying that two texts express the same meaning with different words is a challenging problem. We discuss the role of entailment for various Natural Language Processing applications and develop a machine learning system for their resolution. In our system, text similarity is based on the number of consecutive and non-consecutive word overlaps between two texts. The system is language and resource independent, as it does not use external knowledge resources such as WordNet, thesaurus, semantic, syntactic or part-of-speech tagging tools. In this paper all tests were done for English, but our system can be used with no restrains by other languages.
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页码：186 / 196
页数：11
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