PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

Augmenting WordNet-based Inference with Argument Mapping
Idan Szpektor and Ido Dagan
the 2009 Workshop on Applied Textual Inference pp. 27-35, 2009.

Abstract

WordNet is a useful resource for lexical inference in applications. Inference over predicates, however, often requires a change in argument positions, which is not specified in WordNet. We propose a novel framework for augmenting WordNet-based inferences over predicates with corresponding argument mappings. We further present a concrete implementation of this framework, which yields substantial improvement to WordNet-based inference.

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EPrint Type:Article
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Natural Language Processing
ID Code:6567
Deposited By:Idan Szpektor
Deposited On:08 March 2010