Lexical treatment in information retrieval and representation systems for Biomedicine

Authors

  • Mónica Marrero Universidad Carlos III de Madrid
  • Sonia Sánchez-Cuadrado Universidad Carlos III de Madrid
  • Julián Urbano Universidad Carlos III de Madrid
  • Jorge Morato Universidad Carlos III de Madrid
  • Jose Antonio Moreiro Universidad Carlos III de Madrid

Keywords:

Biomedicina, BioNER, BioNLP, Text-mining, Recuperación de información

Abstract

The terminology used in Biomedicine has lexical characteristics that have required the elaboration of terminological resources and information retrieval systems with specific functionalities. The main characteristics are the high rates of synonymy and homonymy, due to phenomena such as the proliferation of polysemic acronyms and their interaction with common language. Information retrieval systems in the biomedical domain use techniques oriented to the treatment of these lexical peculiarities. In this paper we review some of these techniques, such as the application of Natural Language Processing (BioNLP), the incorporation of lexical-semantic resources, and the application of Named Entity Recognition (BioNER). Finally, we present the evaluation methods adopted to assess the suitability of these techniques for retrieving biomedical resources.

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Published

2015-07-19

How to Cite

Marrero, M., Sánchez-Cuadrado, S., Urbano, J., Morato, J., & Moreiro, J. A. (2015). Lexical treatment in information retrieval and representation systems for Biomedicine. Profesional De La información, 100(2). Retrieved from https://revista.profesionaldelainformacion.com/index.php/EPI/article/view/8615

Issue

Vol. 100 No. 2 (1950)

Section

Research articles

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