Year: 2013
Type: conference-paper
Abstract: This research describes efforts to use crowdsourcing to improve the validity of the semantic predicates in VerbNet, a lexicon of about 6300 English verbs.The current semantic predicates can be thought of semantic primitives, into which the concepts denoted by a verb can be decomposed.For example, the verb spray (of the Spray class), involves the predicates MOTION, NOT, and LOCATION, where the event can be decomposed into an AGENT causing a THEME that was originally not in a particular location to now be in that location.Although VerbNet's predicates are theoretically well-motivated, systematic empirical data is scarce.This paper describes a recently-launched attempt to address this issue with a series of human judgment tasks, posed to subjects in the form of games.
DOI: 10.18653/v1/d13-1149
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W2252085230