A Hybrid Approach for Anaphora Resolution in Hindi

In this paper we present a hybrid approach to resolve Entity-pronoun references in Hindi. While most of the existing approaches, syntactic as well as data-driven, use phrase-structure syntax for anaphora resolution, we explore use of dependency structures as a source of syntactic information. In our approach, dependency structures are used by a rule-based module to resolve simple anaphoric references, while a decision tree classifier is used to resolve more ambiguous instances, using grammatical and semantic features. Our results show that, use of dependency structures provides syntactic knowledge which helps to resolve some specific types of references. Semantic information such as animacy and Named Entity categories further helps to improve the resolution accuracy.