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Effectively using syntax for recognizing false entailment

Rion Snow, Lucy Vanderwende, and Arul Menezes

Abstract

Recognizing textual entailment is a challenging problem and a fundamental component of many applications in natural language processing. We present a novel framework for recognizing textual entailment that focuses on the use of syntactic heuristics to recognize false entailment. We give a thorough analysis of our system, which demonstrates state-of-the-art performance on a widely-used test set.

Details

Publication typeInproceedings
URLhttp://www.aclweb.org/
PublisherAssociation for Computational Linguistics
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