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IRAL
2003
ACM

Korean named entity recognition using HMM and CoTraining model

13 years 7 months ago
Korean named entity recognition using HMM and CoTraining model
Namedentityrecognition isimportantinsophisticatedinformation service system such as Question Answering and Text Mining since most of the answer type and text mining unit depend on the named entitytype.Thereforewefocusonnamedentityrecognitionmodelin Korean. Koreannamed entityrecognitionisdifficultsinceeachword of named entity has not specific features such as the capitalizing feature of English. It has high dependence on the large amounts of hand-labeled data and the named entity dictionary, even though these are tedious and expensive to create. In this paper, we devise HMM based named entity recognizer to consider various context models. Furthermore, we consider weakly supervised learning technique, CoTraining,to combine labeled data and unlabeled data. Keywords :KoreanNamed Entity,HMM,Co-Training
Euisok Chung, Yi-Gyu Hwang, Myung-Gil Jang
Added 05 Jul 2010
Updated 05 Jul 2010
Type Conference
Year 2003
Where IRAL
Authors Euisok Chung, Yi-Gyu Hwang, Myung-Gil Jang
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