1. School of Computer & Information Technology, Shanxi University, Taiyuan, Shanxi 030006, China;
2. Key laboratory of Computation Intelligence and Chinese Information Processing of Ministry of Education,
Shanxi University, Taiyuan, Shanxi 030006, China;
3. School of Foreign Languages, Shanxi University, Taiyuan, Shanxi 030006, China)
Abstract：Frame semantics is introduced to the research of Chinese discourse analysis which includes three subtasks discourse segmentation, discourse structure modeling and discourse relation recognition. First, the Chinese discourse coherence framework and a corresponding corpus is built based on frame semantics. Then two kinds of maximum entropy classifiers are applied to recognize the relation between discourse units and the class of discourse relation based on lexical features, dependency parser features, syntactic parser features, target features and frame sematic features. Finally, we use probability of the relation existence between discourse units to generate the discourse structure by greedy bottom-up method. Experimental results show that frame sematic can segment discourse units effectively and frame sematic feature can improve the performance of discourse structure construction and discourse relation recognition.
Key words Discourse units; Discourse Structure; Discourse Relation; Greedy Bottom-up Method
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2015, Vol. 29 
