SimVerb-3500: A Large-Scale Evaluation Set of Verb Similarity

Understand

Verbs play a critical role in the meaning of sentences, but these ubiquitous words have received little attention in recent distributional semantics research.

• We introduce SimVerb-3500, an evaluation resource that provides human ratings for the similarity of 3,500 verb pairs.
• SimVerb-3500 covers all normed verb types from the USF free-association database, providing at least three examples for every VerbNet class.
• This broad coverage facilitates detailed analyses of how syntactic and semantic phenomena together influence human understanding of verb meaning.