TY - GEN
T1 - Generating entailment rules from FrameNet
AU - Aharon, Roni Ben
AU - Szpektor, Idan
AU - Dagan, Ido
PY - 2010
Y1 - 2010
N2 - Many NLP tasks need accurate knowledge for semantic inference. To this end, mostly WordNet is utilized. Yet Word- Net is limited, especially for inference between predicates. To help filling this gap, we present an algorithm that generates inference rules between predicates from FrameNet. Our experiment shows that the novel resource is effective and complements WordNet in terms of rule coverage.
AB - Many NLP tasks need accurate knowledge for semantic inference. To this end, mostly WordNet is utilized. Yet Word- Net is limited, especially for inference between predicates. To help filling this gap, we present an algorithm that generates inference rules between predicates from FrameNet. Our experiment shows that the novel resource is effective and complements WordNet in terms of rule coverage.
UR - http://www.scopus.com/inward/record.url?scp=84859957257&partnerID=8YFLogxK
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AN - SCOPUS:84859957257
SN - 9781617388088
T3 - ACL 2010 - 48th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference
SP - 241
EP - 246
BT - ACL 2010 - 48th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference
T2 - 48th Annual Meeting of the Association for Computational Linguistics, ACL 2010
Y2 - 11 July 2010 through 16 July 2010
ER -