SVM-Based Biological Named Entity Recognition Using Minimum Edit-Distance Feature Boosted by Virtual Examples-Reference-Cited by-同舟云学术

SVM-Based Biological Named Entity Recognition Using Minimum Edit-Distance Feature Boosted by Virtual Examples

Published:2005 Issue: Volume: Page:807-814
ISSN:0302-9743
Container-title:Natural Language Processing – IJCNLP 2004
language:
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Author:

Yi Eunji,Lee Gary Geunbae,Song Yu,Park Soo-Jun

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/978-3-540-30211-7_86

Reference9 articles.

1. Yi, E., Lee, G.G., Park, S.: HMM-based protein name recognition with editdistance using automatically annotated corpus. In: Proceedings of the workshop on BioLINK text data mining SIG: Biology literature information and knowledge, ISMB 2003 (2003)

2. An, J., Lee, S., Lee, G.: Automatic acquisition of named entity tagged corpus from World Wide Web. In: Preceeding of ACL 2003 (2003)

3. Lee, K., Hwang, Y., Rim, H.: Two-phase biomedical NE recognition based on SVMs. In: Proceedings of ACL 2003 Workshop on Natural Language Processing in Biomedicine (2003)

4. Yamamoto, K.: T,Kudo, A.Konagaya, Y.Matusmoto: Protein name tagging for biomedical annotation in text. In: Proceedings of ACL 2003 Workshop on Natural Language Processing in Biomedicine (2003)

5. Niyogi, P., Girosi, F., Poggio, T.: Incorporating prior information in machine learning by creating virtual examples. Proceedings of IEEE 86, 2196–2207 (1998)

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