Korean named entity recognition using HMM and CoTraining model

Proceedings of the 6th International Workshop on Information Retrieval with Asian Languages, IRAL 2003

Volumn , Issue , 2003, Pages 161-167

  Chung, Euisok ^a   Hwang, Yi Gyu ^a   Jang, Myung Gil ^a  

^a Electronics and Telecommunications Research Institute (ETRI)   (South Korea)

Author keywords

Co training; HMM; Korean named entity

Indexed keywords

CHARACTER RECOGNITION; DATA MINING; INFORMATION RETRIEVAL; NATURAL LANGUAGE PROCESSING SYSTEMS; TEXT PROCESSING;

CO-TRAINING; ENTITY-TYPES; HMM; KOREAN NAMED ENTITY; LABELED DATA; NAMED ENTITIES; NAMED ENTITY RECOGNITION; QUESTION ANSWERING; SERVICE SYSTEMS; TEXT-MINING;

SUPERVISED LEARNING;

EID: 11144286351     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (10)

1. A. Borthwick. A Japanese named entiry recognizer constructed by a non-speaker of Japanese. In Proceedings of the IREX Workshop, pages 187-193, 1999.
2. A. Blum and T. Mitchell. Combining labeled and unlabeled data with cotraining. In Proceedings of the 11th Annual Conference on Computational Learning Theory, pages 92-100, 1998.
3. A. Ittycheriah, M. Franz, W. Zhu, and A. Ratnaparkhi, IBM’s Statistical Question Answering System, In Proceedings of the Text Retrieval Conference TRECT-9, 2000.
4. D. M. Bikel, S. Miller, R. Schwartz, R. Weishedel, Nymble: a high-performance learning named-finder, In Proceedings of the Fifth Conference on Applied Natural Language Processing, 1997
5. G.. Zhou, J. Su, Named Entity Recognition using an HMM-based Chunk Tagger, In 40th Annual Meeting of the Association for Computational Linguistics, 2002.
6. F. James, Modified Kneser-Ney Smoothing of n-gram Models. Technical Report TR00-07, RIACS, USRA, 2000.
7. K. Nigam and R. Ghani. Analyzing the effectiveness and applicability of co-training. In Proceedings of the Ninth International Conference on Information and Knowledge Management, 2000.
8. K. Nigam and R. Ghani. Understanding the Behavior of Co-training. In Proceedings of KDD-2000 Workshop on Text Mining, 2000.
9. M. Collins and Y. Singer. Unsupervised models for named entity classification. In Empirical Methods in Natural Language Processing and Very Large Corpora, 1999.
10. S. Harabagiu, D. Moldovan, M. Pasca, R. Mihalcea, M. Surdeanu, R. Bunescu, R. Girju, V. Rus and P. Morarescu, FALCON: Boosting Knowledge for Answer Engines, In Proceedings of the Text Retrieval Conference TRECT-9, 2000.