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A systematic review of named entity recognition in biomedical texts

Journal of the Brazilian Computer Society volume 17, pages 103–116 (2011)Cite this article

Abstract

Biomedical Named Entities (NEs) are phrases or combinations of phrases that denote specific objects or groups of objects in the biomedical literature. Research on Named Entity Recognition (NER) is one of the most disseminated activities in the automatic processing of biomedical scientific articles. We analyzed articles relevant to NER in biomedical texts, in the period from 2007 to 2009, through a systematic review. The results identify the main methods in the recognition of Biomedical NEs, features and methodologies for a NER system implementation. Aside from the tendencies identified, some gaps are detected that may constitute opportunities for new studies in the area.

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Author information

Affiliations

  1. Feevale University, Novo Hamburgo, Brazil

    Rodrigo Rafael Villarreal Goulart

  2. PUCRS, Porto Alegre, Brazil

    Vera Lúcia Strube de Lima & Clarissa Castellã Xavier

Authors
  1. Rodrigo Rafael Villarreal Goulart
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  2. Vera Lúcia Strube de Lima
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  3. Clarissa Castellã Xavier
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Corresponding author

Correspondence to Rodrigo Rafael Villarreal Goulart.

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Open Access This article is distributed under the terms of the Creative Commons Attribution 2.0 International License ( https://creativecommons.org/licenses/by/2.0 ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Goulart, R.R.V., Strube de Lima, V.L. & Xavier, C.C. A systematic review of named entity recognition in biomedical texts. J Braz Comput Soc 17, 103–116 (2011). https://doi.org/10.1007/s13173-011-0031-9

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Keywords

  • Parsing
  • Named entity
  • Recognition
  • Biomedical