Automatic Knowledge Acquisition for Case Alternation between the Passive/Causative and Active Voices

Abstract

We propose a method for automatically acquiring knowledge about case alternations between the passive/causative and active voices. Our method leverages large lexical case frames obtained from a large Web corpus, and several alternation patterns. We then use the acquired knowledge to a case alternation task and show its usefulness.