PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

Generating Entailment Rules from FrameNet
Roni Ben Aharon, Idan Szpektor and Ido Dagan
In: ACL 2010, 11-16 Jul 2010, Uppsala, Sweden.

Abstract

Many NLP tasks need accurate knowledge for semantic inference. To this end, mostly WordNet is utilized. Yet WordNet 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.

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EPrint Type:Conference or Workshop Item (Paper)
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Natural Language Processing
ID Code:7691
Deposited By:Idan Szpektor
Deposited On:17 March 2011