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Recognizing Textual Entailment with LCC´s GROUNDHOG System

Recognizing Textual Entailment with LCC´s GROUNDHOG System

This video was recorded at PASCAL Second Challenges Workshop, Venice 2006. 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.
Keywords:
videolectures, ocwc, oec
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More about this material

Material Type:
Open (Access) Textbook
Date Added to MERLOT:
February 10, 2015
Date Modified in MERLOT:
February 10, 2015
Author:
Submitter:
The Open Education Consortium
Primary Audience:
College General Ed, College Lower Division, College Upper Division
Technical Format:
Video
Mobile Compatibility:
Not specified at this time
Language:
English
Cost Involved:
No
Source Code Available:
No
Creative Commons:
Creative Commons License
This work is licensed under a Attribution-NonCommercial-NoDerivs 3.0 United States

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