| Summary: | Reasoning based on frame semantics is an effective means to achieve semantic understanding in tasks such as discourse comprehension and QA system.It finds the inferential path by constructing connections between the frames of sentences in Chinese texts,but the coreference of the internal representations of the frame elements hinders the establishment of connections between the frames.To address the problem,this paper proposes a coreference resolution method based on frame features,which integrates the Chinese frame semantic information,and uses different classification algorithms to achieve coreference resolution.Experimental results on the corpus of frame semantics discourses show that the application of Chinese frame features to classifiers can improve the results of coreference resolution,and the classification performance of support vector machine is better than that of naive Bayesian,decision tree and other classifiers.
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