%0 Journal Article
%T 汉语篇章连接词识别与分类<br>Automatic Recognition and Classification on Chinese Discourse Connective
%A 李艳翠
%A 孙静
%A 周国栋
%J 北京大学学报（自然科学版）
%D 2015
%X 摘要 基于自建的汉语篇章结构语料库以及语料库中连接词和连接词关系类别的标注, 抽取自动句法树和标准句法树的句法、词法和位置特征, 利用有监督的方法进行连接词识别和分类。实验结果表明, 连接词识别的F1值为69.2%, 连接词自动识别并分类的总正确率为89.1%。<br>Abstract Based on the annotation of discourse connective in Chinese Discourse Treebank, especially the annotation of the connective and its relation classification. The authors extract syntax, lexical and position features of automatic syntax tree and standard syntax tree, and use supervised method to recognize and classify connective. Experimental results show that connective recognition F1-measure is 69.2%, and connective classification accuracy is 89.1%.
%K 连接词识别
%K 连接词分类
%K 汉语篇章&lt
%K br&gt
%K connective recognition
%K connective classification
%K Chinese discourse
%U http://xbna.pku.edu.cn/CN/abstract/abstract2601.shtml