Long short-term memory RNN for biomedical named entity recognition

Author:

Lyu Chen,Chen Bo,Ren Yafeng,Ji Donghong

Funder

National Natural Science Foundation of China

Major Projects of the National Social Science Foundation of China

Humanities and Social Science Foundation of Ministry of Education of China

Publisher

Springer Science and Business Media LLC

Subject

Applied Mathematics,Computer Science Applications,Molecular Biology,Biochemistry,Structural Biology

Reference41 articles.

1. Smith L, Tanabe LK, nee Ando RJ, Kuo CJ, Chung IF, Hsu CN, Lin YS, Klinger R, Friedrich CM, Ganchev K, et al. Overview of biocreative ii gene mention recognition. Genome Biol. 2008; 9(2):1.

2. Kim JD, Ohta T, Tsuruoka Y, Tateisi Y, Collier N. 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. Geneva: Association for Computational Linguistics: 2004. p. 70–5.

3. Campos D, Matos S, Oliveira JL. Gimli: open source and high-performance biomedical name recognition. BMC Bioinformatics. 2013; 14(1):1.

4. Cho H, Okazaki N, Miwa M, Tsujii J. Nersuite: a named entity recognition toolkit. Tsujii Laboratory, Department of Information Science, University of Tokyo, Tokyo, Japan [ http://nersuite.nlplab.org/index.html ]. 2010.

5. Hsu CN, Chang YM, Kuo CJ, Lin YS, Huang HS, Chung IF. Integrating high dimensional bi-directional parsing models for gene mention tagging. Bioinformatics. 2008; 24(13):286–94.

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