摘要
指代消解是语篇机器理解中的重要一环.研究发现,由于表示语篇本身某一部分而非语篇内容的元指代现象普遍存在,语篇元指代消解也就成为困扰着语篇机器理解实现的困难之一.对语篇中的元指代现象进行了分析,提出句焦点的概念,并在句焦点集的基础上,用优先和过滤算法实现了元指代的消解.在使用自然语料的实验中表明,句焦点集的作用对于元指代机器消解有重要作用.它丰富了语篇分析和表述理论,对汉语语篇分析理解中寻找元指代关系,从而完成连贯语篇意义具有重要意义.
Anaphoric resolution is a hot field in computational linguistics. According to the research, it is found that a kind of anaphora, meta-anaphora, which represents the form of sentence, paragraph or discourse (not the subject or object of the sentence), plays an important role in discourse. So meta-anaphoric resolution affects the computer's ability of discourse understanding. This paper focuses on the meta-anaphoric resolution. A new concept called Elementary Event focus (EE_focus) is introduced. And some meta-anaphoric resolution algorithms based on the concept are designed. The algorithms examined by a large Chinese natural language corpus. The experimental results show that the EE_focus set can do good job in meta-anaphoric resolution. The work enriches the theory of discourse's structural representation. It is important in confirming the cohesion and coherence of the Chinese discourses.
出处
《软件学报》
EI
CSCD
北大核心
2002年第4期732-738,共7页
Journal of Software
基金
国家自然科学基金资助项目(69983006)
