基于ChunkCRF的观点持有者识别及其在观点摘要中的应用  

Chunk-CRF-based Opinion Holder Identification and Application to Opinion Summarization

作　　者：宋锐[1] 洪莉[2] 林鸿飞[1] 

机构地区：[1]大连理工大学计算机科学与工程系,辽宁大连116024 [2]朝阳师范高等专科学校计算机系,辽宁朝阳122000

出　　处：《小型微型计算机系统》2009年第7期1462-1466,共5页Journal of Chinese Computer Systems

基　　金：国家自然科学基金项目(60373095,60673039)资助;国家“八六三”高科技计划项目(2006AA01Z151)资助;教育部留学回国人员科研启动基金项目资助

摘　　要：含有观点的文档中准确识别出观点的持有者是预处理步骤.通过建立ChunkCRF模型对观点表达句进行观点持有者的识别;对于同一个观点句中含有多个观点持有者的情况,借助语言学手段进行预处理,再利用模型进行观点持有者识别.在此基础上还进行了观点的摘要与倾向性分析的工作.实验结果表明,基于ChunkCRF的中文观点持有者识别方法达到了80%上以的准确率,并且能够更好的配合观点的摘要与倾向性分析工作.Accurate opinion-holder-identification is an important preprocessing for opinion summarization based on opinion holder. In this paper, a ChunkCRF model was constructed to divide the opinionated sentence into particular chunks with the aim of effectively identify the opinion sources; at the same time, in multi-Opinion-Holder cases, syntactic analysis was made use of before applying CRF model. Moreover, opinion summarization and polarity analysis were also given. Experiment results showed the ChunkCRF-based method identified opinion holders with precision over 80%, moreover, it could also assist the opinion summarization and polarity analysis well.

关 键 词：ChunkCRF 观点持有者识别 观点摘要 观点倾向性分析 

分 类 号：TP391.3[自动化与计算机技术—计算机应用技术]