Paper: A Fully-Lexicalized Probabilistic Model for Japanese Zero Anaphora Resolution

ACL ID C08-1097
Title A Fully-Lexicalized Probabilistic Model for Japanese Zero Anaphora Resolution
Venue International Conference on Computational Linguistics
Session Main Conference
Year 2008
Authors

This paper presents a probabilistic model for Japanese zero anaphora resolution. First, this model recognizes discourse en- tities and links all mentions to them. Zero pronouns are then detected by case struc- ture analysis based on automatically con- structed case frames. Their appropriate antecedents are selected from the entities with high salience scores, based on the case frames and several preferences on the relation between a zero pronoun and an antecedent. Case structure and zero anaphora relation are simultaneously de- termined based on probabilistic evaluation metrics.