Automatic Construction of Entity Semantic Representation Model Based on Dependency Analysis

摘要：

　　The entity semantic representation model (ESRM),which considers an entity as a set of attributes and corresponding values,is very useful for various applications.This paper proposes an approach for extracting new attributes and values from related unstructured documents.In our approach,the extraction process is formulated as the sequence labeling task.According to the predefined entity structure,the labeled data for training annotator are achieved automatically.The CRFs based annotator is trained to annotate the sentence which maybe contains the new attributes and values.And then,in terms of a decision process with scoring algorithm,new attributes and values are identified and fill into the predefined entity representation model.The experiments show that the proposed method improves the performance of extraction with a higher accuracy.

关键词： entity semantic representation model dependency analysis

作者: LIU Xiaoming LIU Jie LI Fangfang

作者单位: School of Computer Science and Technology, Beijing Institute of Technology, Beijing, China,100081 Information and Engineering College, Capital Normal University, Beijing, China, 100081

会议类型: 国际会议

会议名称: the Second International Conference on Frontiers of Manufacturing and Design Science(第二届制造与设计科学国际会议(ICFMD 2011))

会议地点: 台湾

会议语种:英文

页码: 1947-1951

在线出版日期: 2011-12-11（万方平台首次上网日期，不代表论文的发表时间）