Paper: Textual Entailmaint Recognition using Word Overlap Mutual Information and Subpath Set

ACL ID W10-3404
Title Textual Entailmaint Recognition using Word Overlap Mutual Information and Subpath Set
Venue Workshop on Cognitive Aspects of the Lexicon
Session
Year 2010
Authors

When two texts have an inclusion relation, the relationship between them is called entailment. The task of mechanically distinguishing such a relation is called recognising textual entailment (RTE), which is basically a kind of semantic analysis. A variety of methods have been proposed for RTE. However, when the previous methods were combined, the performances were not clear. So, we utilized each method as a feature of machine learning, in order to combine methods. We have dealt with the binary classification problem of two texts exhibiting inclusion, and proposed a method that uses machine learning to judge whether the two texts present the same content. We have built a program capable to perform entailment judgment on the basis of word overlap, i.e. the matching rate...