Paper: About Inferences in a Crowdsourced Lexical-Semantic Network

ACL ID E14-1019
Title About Inferences in a Crowdsourced Lexical-Semantic Network
Venue Annual Meeting of The European Chapter of The Association of Computational Linguistics
Session Main Conference
Year 2014
Authors

Automatically inferring new relations from already existing ones is a way to improve the quality of a lexical network by relation densification and error de- tection. In this paper, we devise such an approach for the JeuxDeMots lexi- cal network, which is a freely avalaible lexical network for French. We first present deduction (generic to specific) and induction (specific to generic) which are two inference schemes ontologically founded. We then propose abduction as a third form of inference scheme, which exploits examples similar to a tar- get term.