计算机应用与软件2012，Vol.29Issue(2)：113-117,128,6.
口语对话中非名词指代的消解
CO-REFERENCE RESOLUTION OF NON-NOMINAL WORD CLASSES IN SPOKEN DIALOGUE
摘要
Abstract
Pronoun co-reference resolution is an indispensable part for completely comprehending the spoken dialogue. Based on the characteristics of difference of spoken dialogue to written forms, and of antecedents of non-nominal word classes co-references, in this paper we propose a set of algorithms suitable to resolving non-nominal word classes co-reference in raw corpus of spoken dialogue on the basis of the works previously done by the others. The algorithms are based on the Right Frontier Rule of co-reference of non-nominal word classes. In the . Algorithms, we propose some rules about how to distinguish whether the antecedent is linearly adjacent or hierarchically adjacent, and the rule to filter candidate antecedents. The algorithms are tested on a public released spoken dialogue corpus Trains-93. Experimental results show that our algorithms improve the precision and recall of resolution, it can resolve more kinds of pronouns, and fits the raw corpus of spoken dialogue.关键词
口语对话理解/指代消解/非名词指代Key words
Spoken dialogue comprehension/Co-reference resolution/Co-reference of non-nominal word classes分类
信息技术与安全科学引用本文复制引用
费仲超,魏芳,朱鲲鹏..口语对话中非名词指代的消解[J].计算机应用与软件,2012,29(2):113-117,128,6.基金项目
上海市博士后项目(10R21421900). （10R21421900）
