The Research on Coreference Resolution Based on Maximum Entropy Model
Yánɡ Ěrhónɡ · Zhongwen xinxi xuebao · 2008
Coreference is a common phenomenon in news reports about paroxysmal event.Conreference resolution is essential for information extraction.In the paper,we present an approach of coreference resolution based on Maximum Entropy Model in Chinese news reports about paroxysmal events.By the approach,we can extract the pronouns,nouns and noun phrases which refer to the same entity in a news report.The training corpus contains 200000 Chinese characters and the testing corpus contains 100000 ones.Eight kinds of features are chosen for the Maximum Entropy Model according to the characteristics of the problem.The experimental results show that the approach can achieve a F-measure of 64.6%.