Abstract
Anaphora is a common phenomenon in a natural language. It plays a large role in the coherence of a text and is a subject of active study in computational linguistics. This paper puts forward several anaphora resolution algorithms for the personal pronouns of written Chinese based on Focus-set Theory and DRT. The strength of our methods lies in the emphasis on the construction of Focus-set and in the dynamic application of syntax knowledge, case grammar and discourse representation theory (DRT). Algorithms were examined by a large Chinese natural language corpus at each stage. The results show that our system of anaphoric resolution algorithms is effective.
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