Paper: Investigating A Generic Paraphrase-Based Approach For Relation Extraction

ACL ID E06-1052
Title Investigating A Generic Paraphrase-Based Approach For Relation Extraction
Venue Annual Meeting of The European Chapter of The Association of Computational Linguistics
Session Main Conference
Year 2006
Authors

Unsupervised paraphrase acquisition has been an active research field in recent years, but its effective coverage and per- formance have rarely been evaluated. We propose a generic paraphrase-based ap- proach for Relation Extraction (RE), aim- ing at a dual goal: obtaining an applicative evaluation scheme for paraphrase acquisi- tion and obtaining a generic and largely unsupervisedconfigurationforRE.Wean- alyze the potential of our approach and evaluate an implemented prototype of it using an RE dataset. Our findings reveal a high potential for unsupervised paraphrase acquisition. We also identify the need for novel robust models for matching para- phrasesintexts,whichshouldaddresssyn- tactic complexity and variability.