Recognizing Textual Entailment with LCC´s GROUNDHOG System

Posted in Science on July 19, 2008


Recognizing Textual Entailment with LCC´s GROUNDHOG System

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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Tags: Science, Lectures, Computer Science, categorization, Semantic Web, VideoLectures.Net, Text Mining, Natural Language Processing