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Towards the Named Entity Recognition Methods in Biomedical Field

  • Anna Śniegula
  • Aneta Poniszewska-MarańdaEmail author
  • Łukasz Chomątek
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 12011)

Abstract

Natural Language Processing (NLP) is very important in modern data processing taking into consideration different sources, forms and purpose of data as well as information in different areas our industry, administration, public and private life. Our studies concern Natural Language Processing techniques in biomedical field. The increasing volume of information stored in medical health record databases both in natural language and in structured forms is creating increasing challenges for information retrieval (IR) technologies. The paper presents the comparison study of chosen Named Entity Recognition techniques for biomedical field.

Keywords

Machine learning Natural Language Processing Recurrent neural networks Named Entity Recognition Conditional Random Fields Long-Short Term Memory Genia corpus 

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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.Department of Informatics in EconomyUniversity of LodzLodzPoland
  2. 2.Institute of Information TechnologyLodz University of TechnologyLodzPoland

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