|Title||Acquisition of verb entailment from text|
|Publication Type||Conference Paper|
|Year of Publication||2006|
|Conference Name||The main conference on Human Language Technology Conference of the North American Chapter of the Association of Computational Linguistics|
|Publisher||Association for Computational Linguistics|
|Conference Location||New York, New York|
The study addresses the problem of automatic acquisition of entailment relations between verbs. While this task has much in common with paraphrases acquisition which aims to discover semantic equivalence between verbs, the main challenge of entailment acquisition is to capture asymmetric, or directional, relations. Motivated by the intuition that it often under-lies the local structure of coherent text, we develop a method that discovers verb entailment 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.