Paper: Acquisition Of Verb Entailment From Text

ACL ID N06-1007
Title Acquisition Of Verb Entailment From Text
Venue Human Language Technologies
Session Main Conference
Year 2006
  • Viktor Pekar (University of Wolverhampton, Wolverhampton UK)

The study addresses the problem of auto- matic acquisition of entailment relations between verbs. While this task has much in common with paraphrases acquisition which aims to discover semantic equiva- lence between verbs, the main challenge of entailment acquisition is to capture asymmetric, or directional, relations. Mo- tivated by the intuition that it often under- lies the local structure of coherent text, we develop a method that discovers verb en- tailment using evidence about discourse relations between clauses available in a parsed corpus. In comparison with earlier work, the proposed method covers a much wider range of verb entailment types and learns the mapping between verbs with highly varied argument structures.