2010 Volume 17 Issue 1 Pages 1_141-1_159
As fundamental natural language processing techniques like morphological analysis and parsing have become widely used, semantics and discourse analysis has gained increasing attention. Especially, it is essential to identify fundamental elements, or arguments, such as “who” did “what” to “whom.” Predicate argument structure analysis deals with argument structure of verbs and adjectives. However, not only verbs and adjectives but also nouns are known to have event-hood. We thus propose a machine-learning based method for automatic argument structure analysis of Japanese event-nouns. Since there are ambiguous event-nouns in terms of event-hood, we cast the task of argument structure analysis of event-nouns into two parts: event-hood determination and argument identification. We propose to use lexico-syntactic patterns mined from large corpora for the first sub-task and to exploit argument-sharing phenomenon between predicates and event-nouns for the second sub-task.
