Chinese Pronominal Anaphora Resolution Via a Preference Selection Approach
Luo Yun-fei · Zhongwen xinxi xuebao · 2005
Anaphora is a common phenomenon in the research on NLP (Natural Language Processing), Anaphora resolution plays an important role in text information processing. With the increasing development of dealing with the discourses, anaphora resolution shows the unprecedented importance. In this paper, according to features of Chinese personal pronoun we present an approach which is based on corpus. It adopts the decision tree arithmetic and combines with the preference selection strategy. The method takes into account all kinds of anaphoric features and those effects among each other. The experiment demonstrates that the method achieves the desired result.