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个人信息Personal Information
教授
博士生导师
硕士生导师
性别:女
毕业院校:大连理工大学
学位:博士
所在单位:计算机科学与技术学院
学科:计算机应用技术. 计算机软件与理论
办公地点:创新大厦A930
电子邮箱:lils@dlut.edu.cn
Recognizing Location Names from Chinese Texts Based on Max-Margin Markov Network
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论文类型:会议论文
发表时间:2008-10-19
收录刊物:EI、CPCI-S、Scopus
页面范围:325-331
关键字:SVM; CRFs; M(3)Net; named entity recognition
摘要:This paper presents a novel method of recognizing location names from Chinese texts based on Max-Margin Markov Network (M(3)Net) owing to its ability to exploit very high dimensional feature spaces (using the kernel trick) while at the same time dealing with structured data compared with Support Vector Machine (SVM) and Conditional Random Fields (CRFs). In our model, the character itself, character-based part-of-speech (POS) tag, the information whether a character appears in the location name characteristic word table and context information are extracted as the features. The F-measure is up to 90.57% based on 1-order M(3)Net which is better than that based on either SVM or CRFs in open test on MSRA dataset.