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Proceedings of the Mediterranean Symposium on Smart City Applications

SCAMS 2017: Innovations in Smart Cities and Applications pp 766–777Cite as

A Hybrid Approach for French Medical Entity Recognition and Normalization

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Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 37))

Abstract

Medical document written in natural language is available in electronic form, and it constitutes an invaluable source for medical research. This paper describes our system based on hybrid approach for the task of Named Entity Recognition and Normalization of French medical documents using QUAERO corpus [1]. To evaluate our system, we took part in three subtasks: Entity Normalization, Named Entity Extraction and Classification which involved 10 categories including Anatomy, Chemicals & Drugs, Devices, Disorders, Geographic Areas, Living Beings, Objects, Phenomena, Physiology and Procedures. The results on both tasks, Named Entity Recognition and Normalization, demonstrate high performance as compared to other methods for French Medical Entity Recognition and Normalization.

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Author information

Authors and Affiliations

  1. LIST/FSTT, Abdelmalek Essaadi University, Tangier, Morocco

    Allaouzi Imane & Mohamed Ben Ahmed

Authors
  1. Allaouzi Imane
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  2. Mohamed Ben Ahmed
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Correspondence to Allaouzi Imane .

Editor information

Editors and Affiliations

  1. Computer Sciences Department, Faculty of Sciences and Techniques, Abdelmalek Essaadi University, Tangier, Morocco

    Mohamed Ben Ahmed

  2. Computer Sciences Department, Faculty of Sciences and Techniques, Abdelmalek Essaadi University, Tangier, Morocco

    Anouar Abdelhakim Boudhir

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Imane, A., Ben Ahmed, M. (2018). A Hybrid Approach for French Medical Entity Recognition and Normalization. In: Ben Ahmed, M., Boudhir, A. (eds) Innovations in Smart Cities and Applications. SCAMS 2017. Lecture Notes in Networks and Systems, vol 37. Springer, Cham. https://doi.org/10.1007/978-3-319-74500-8_70

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  • DOI: https://doi.org/10.1007/978-3-319-74500-8_70

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-74499-5

  • Online ISBN: 978-3-319-74500-8

  • eBook Packages: EngineeringEngineering (R0)

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