Paper: Identifying Semantic Relations And Functional Properties Of Human Verb Associations

ACL ID H05-1077
Title Identifying Semantic Relations And Functional Properties Of Human Verb Associations
Venue Conference on Empirical Methods in Natural Language Processing
Session Main Conference
Year 2005
Authors

This paper uses human verb associations as the basis for an investigation of verb properties, focusing on semantic verb re- lations and prominent nominal features. First, the lexical semantic taxonymy Ger- maNet is checked on the types of clas- sic semantic relations in our data; verb- verb pairs not covered by GermaNet can help to detect missing links in the tax- onomy, and provide a useful basis for defining non-classical relations. Second, a statistical grammar is used for determin- ing the conceptual roles of the noun re- sponses. We present prominent syntax- semantic roles and evidence for the useful- ness of co-occurrence information in dis- tributional verb descriptions.