Disease named entity recognition from biomedical literature using a novel convolutional neural network
Author:
Publisher
Springer Science and Business Media LLC
Subject
Genetics(clinical),Genetics
Link
http://link.springer.com/content/pdf/10.1186/s12920-017-0316-8.pdf
Reference31 articles.
1. Rosario B, Hearst MA. Classifying semantic relations in bioscience texts. Barcelona: Proceedings of the 42nd annual meeting on association for computational linguistics: Association for Computational Linguistics. 2004;1:430–37.
2. Leaman R, Miller C, Gonzalez G. Enabling recognition of diseases in biomedical text with machine learning: corpus and benchmark. Proc 2009 Symp Languages Biol Med. 2009;82:9.
3. Chowdhury M, Faisal M. Disease mention recognition with specific features. Uppsala: Proceedings of the 2010 workshop on biomedical natural language processing: Association for Computational Linguistics; 2010. p.83–90.
4. Doğan, Islamaj R, Leaman R, Lu Z. NCBI disease corpus: a resource for disease name recognition and concept normalization. J Biomed Inf. 2014;47:1–10.
5. Li H, et al. HITSZ_CDR: an end-to-end chemical and disease relation extraction system for BioCreative V. Database. 2016;(2016):baw077.
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