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Cimind: A phonetic-based tool for multilingual named entity recognition in biomedical texts

Abstract : Extracting concepts from biomedical texts is a key to support many advanced applications such as biomedical information retrieval. However, in clinical notes Named Entity Recognition (NER) has to deal with various types of errors such as spelling errors, grammatical errors, truncated sentences, and non-standard abbreviations. Moreover, in numerous countries, NER is challenged by the availability of many resources originally developed and only suitable for English texts. This paper presents the Cimind system, a multilingual system dedicated to named entity recognition in medical texts based on a phonetic similarity measure.
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https://hal-normandie-univ.archives-ouvertes.fr/hal-02100394
Contributeur : Lina F Soualmia <>
Soumis le : lundi 15 avril 2019 - 18:50:35
Dernière modification le : samedi 15 février 2020 - 01:44:52

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Chloé Cabot, Stefan Darmoni, Lina F. Soualmia. Cimind: A phonetic-based tool for multilingual named entity recognition in biomedical texts. Journal of Biomedical Informatics, Elsevier, 2019, pp.103176. ⟨10.1016/j.jbi.2019.103176⟩. ⟨hal-02100394⟩

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