Title :
Recognizing Textual Entailment Based on WordNet
Author :
Feng, Jin ; Zhou, Yiming ; Martin, Trevor
Author_Institution :
Dept. of Comput. Sci., Beihang Univ., Beijing
Abstract :
Textual entailment recognition (RTE) is one of the fundamental problems in many natural language processing applications. This paper proposes a new method for lexical entailment measure which is based on exploiting the information in the WordNet glosses. Further we perform 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.
Keywords :
natural language processing; pattern classification; RTE problem; WordNet; classification problem; lexical entailment measure; natural language processing; textual entailment recognition; Application software; Conferences; Information retrieval; Machine learning; Machine learning algorithms; Natural language processing; Probability; Speech; Statistical analysis; Text recognition; Textual Entailment; WordNet;
Conference_Titel :
Intelligent Information Technology Application, 2008. IITA '08. Second International Symposium on
Conference_Location :
Shanghai
Print_ISBN :
978-0-7695-3497-8
DOI :
10.1109/IITA.2008.88
