Abstract
We describe a method for recognizing textual entailment that uses the length of the longest common subsequence (LCS) between two texts as its decision criterion. Rather than requiring strict word matching in the common subsequences, we perform a flexible match using automatically generated paraphrases. We ��?nd that the use of paraphrases over strict word matches represents an average F-measure improvement from 0.22 to 0.36 on the CLEF 2006 Answer Validation Exercise for 7 languages.
Original language | Undefined |
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Title of host publication | Working Notes of CLEF 2006 |
Editors | A. Nardi, C. Peters, J.L. Vicedo |
Publisher | CLEF |
Pages | 1-8 |
Number of pages | 8 |
ISBN (Print) | 2-912335-23-x |
Publication status | Published - 20 Sep 2006 |
Event | 7th Workshop of the Cross-Language Evaluation Forum, CLEF 2006 - Alicante, Spain Duration: 20 Sep 2006 → 22 Sep 2006 Conference number: 7 |
Publication series
Name | |
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Publisher | CLEF |
Number | 10 |
ISSN (Print) | 1818-8044 |
Workshop
Workshop | 7th Workshop of the Cross-Language Evaluation Forum, CLEF 2006 |
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Abbreviated title | CLEF 2006 |
Country/Territory | Spain |
City | Alicante |
Period | 20/09/06 → 22/09/06 |
Keywords
- EWI-9709
- IR-64000
- METIS-248215
- HMI-SLT: Speech and Language Technology