A deep case identification method using word embedding

Abstract

Deep cases are semantic relations between nouns and verbs. Deep case identification is important to grasp semantic information of sentences. Previous studies used syntactic and dependency features to identify deep cases. Recently, there have been studies using word embedding and artificial neural network. In this study, we propose the method to identify deep cases for Japanese using word embedding.