An Alignment-Based Approach to Semi-supervised Relation Extraction Including Multiple Arguments

摘要：

We present an alignment-based approach to semi-supervised relation extraction task including more than two arguments.We concentrate on improving not only the precision of the extracted result,but also on the coverage of the method.Our relation extraction method is based on an alignment-based pattern matching approach which provides more flexibility of thc method.In addition,we extract all relationships including two or more arguments at once in order to obtain the integrated result with high quality.We present experimental results which indicate the effectiveness of our method.

作者: Seokhwan Kim Minwoo Jeong Gary Geunbae Lee Kwangil Ko Zino Lee

作者单位: Department of Computer Science and Engineering,Pohang University of Science and Technology,San 31,Hy Alticast Corp.,15th Floor,Nara Investmcnt Banking Corp.Bldg.1328-3,Seocho-Dong,Seocho-Gu,Seoul,137-8

会议类型: 国际会议

会议名称: 4th Asia Information Retrieval Symposium(AIRS 2008)(第四届亚洲信息检索研讨会)

会议地点: 哈尔滨

会议语种:英文

页码: 526-536

在线出版日期: 2008-01-16（万方平台首次上网日期，不代表论文的发表时间）