Recognizing Textual Entailment with LCC´s GROUNDHOG System

author: Andrew Hickl, Language Computer Corporation
published: Feb. 25, 2007,   recorded: April 2006,   views: 5932


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We introduce a new system for recognizing textual entailment (known as GROUNDHOG) which utilizes a classification-based approach to combine lexico-semantic information derived from text processing applications with a large collection of paraphrases acquired automatically from the WWW. Trained on 200,000 examples of textual entailment extracted from newswire corpora, our system managed to classify more than 75% of the pairs in the 2006 PASCAL RTE Test Set correctly.

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