Exploring feature sets for two-phase biomedical named entity recognition using semi-CRFs
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Hardware and Architecture,Human-Computer Interaction,Information Systems,Software
Link
http://link.springer.com/content/pdf/10.1007/s10115-013-0637-7.pdf
Reference26 articles.
1. Chan S, Lam W, Yu X (2007) A cascaded approach to biomedical named entity recognition using a unified model. In: Proceedings of the 2007 7th IEEE international conference on data mining (ICDM ’07), pp 93–102
2. Cohen A, Hersh W (2005) A survey of current work in biomedical text mining. Brief Bioinformatics 6(1):57–71
3. Finkel J, Dingare S, Nguyen H et al (2004) Exploiting context for biomedical entity recognition: from syntax to the web. In: Proceedings of the international joint workshop on natural language processing in biomedicine and its applications (JNLPBA ’04), pp 88–91
4. Kim J, Ohta T, Tateisi Y, Tsujii J (2003) GENIA corpus-a semantically annotated corpus for bio-text mining. Bioinformatics 19(suppl 1):i180–i182
5. Kim J, Ohta T, Tsuruoka Y et al (2004) Introduction to the bio-entity recognition task at JNLPBA. In: Proceedings of the international joint workshop on natural language processing in biomedicine and its applications (JNLPBA ‘04), pp 70–75
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