关键词: 语义片段自动切分, 篇章结构分析, 逻辑语义关系, 树库

Abstract: The authors focus on how to segment semantic units in Chinese discourse and how to label relations among semantic units automatically. During the parsing process, several sequence labelling methods are compared for discourse segmentation, while a maximum entropy-based training and decoding algorithm is specially proposed. Experiments are done based on Tsinghua Chinese Treebank, which is annotated with logical and semantic relations at complex-sentence level. Experimental results show that F-score of discourse segmentation reaches 89.1%. When parsing discourses with no more than 6 relations included, the labeling F-score can achieve 63%.

Key words: automatic discourse segmentation, discourse structure parsing, Chinese logical and semantic relation, Tsinghua Chinese Treebank