Augmenting WordNet-based Inference with Argument Mapping

Idan Szpektor, Ido Dagan

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.