Study of Named Entity Recognition methods in biomedical field | Zendy

Anna Śniegula | Zendy; Aneta Poniszewska-Marańda | Zendy; Łukasz Chomątek | Zendy

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Study of Named Entity Recognition methods in biomedical field

Author(s) -

Anna Śniegula,

Aneta Poniszewska-Marańda,

Łukasz Chomątek

Publication year - 2019

Publication title -

procedia computer science

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.334

H-Index - 76

ISSN - 1877-0509

DOI - 10.1016/j.procs.2019.09.466

Subject(s) - computer science , field (mathematics) , named entity recognition , natural language processing , artificial intelligence , information extraction , information retrieval , natural language , data science , question answering , volume (thermodynamics) , physics , mathematics , management , quantum mechanics , pure mathematics , economics , task (project management)

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.

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