Combine with Dependency Parsing and Entity for Answer Syntax Pattern Learning Method

摘要：

For characteristics of the sentence patterns in restricted domain question-answer system,we proposed an answer syntax pattern learning method combined with dependency syntax and sentence patterns of domain answers entity.Firstly,this method uses labeled type of questions and answers to recall candidate snippets,then dependency parsing and entity recognition are conducted on the snippets to extract the candidate answer sentence patterns.Next,extend the same type of entities to obtain new candidate answer sentence patterns.Finally,get the candidate answer syntax pattern corpus according to the weight of candidate pattern calculated by the frequency and precision of the answers,which retrieved by the candidate patterns.We experimented on the answers extracting by pattern matching,the experimental on web data sets and the accessed pattern data sets show that the pattern learning method could effectively improve the results of extracting answers in the restricted domain.

作者: ZHAO Xing YU Zheng-Tao ZOU Jun-Jie GUO Jian-Yi MAO Cun-Li

作者单位: School of Information and Automation,Kunming University of Science and Technology,Kunming 650051,P.R.China Laboratory of Intelligent Information Processing,Kunming University of Science and Technology,Kunming 650051,P.R.China

会议类型: 国际会议

会议名称: The 30th Chinese Control Conference(第三十届中国控制会议)

会议地点: 烟台

会议语种:英文

页码: 1-5

在线出版日期: 2011-07-01（万方平台首次上网日期，不代表论文的发表时间）