Chunking using conditional random fields in Korean texts
SCIE
SCOPUS
- Title
- Chunking using conditional random fields in Korean texts
- Authors
- Lee, YH; Kim, MY; Lee, JH
- Date Issued
- 2005-01
- Publisher
- SPRINGER-VERLAG BERLIN
- Abstract
- We present a method of chunking in Korean texts using conditional random fields (CRFs), a recently introduced probabilistic model for labeling and segmenting sequence of data. In agglutinative languages such as Korean and Japanese, a rule-based chunking method is predominantly used for its simplicity and efficiency. A hybrid of a rule-based and machine learning method was also proposed to handle exceptional cases of the rules. In this paper, we present how CRFs can be applied to the task of chunking in Korean texts. Experiments using the STEP 2000 dataset show that the proposed method significantly improves the performance as well as outperforms previous systems.
- URI
- https://oasis.postech.ac.kr/handle/2014.oak/24318
- DOI
- 10.1007/11562214_14
- ISSN
- 0302-9743
- Article Type
- Article
- Citation
- LECTURE NOTES IN ARTIFICIAL INTELLIGENCE, vol. 3651, page. 155 - 164, 2005-01
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