Spanish named entity recognition in the biomedical domain

Named Entity Recognition in the clinical domain and in languages different from English has the difficulty of the absence of complete dictionaries, the informality of texts, the polysemy of terms, the lack of accordance in the boundaries of an entity, the scarcity of corpora and of other resources a...

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Guardado en:
Detalles Bibliográficos
Publicado: 2019
Materias:
BioNLP
Named entity recognition
Radiology reports
Spanish
Acceso en línea:https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_18650929_v898_n_p233_Cotik
http://hdl.handle.net/20.500.12110/paper_18650929_v898_n_p233_Cotik
Aporte de:
Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA) de Universidad de Buenos Aires
id paper:paper_18650929_v898_n_p233_Cotik
record_format dspace
spelling paper:paper_18650929_v898_n_p233_Cotik2023-06-08T16:29:40Z Spanish named entity recognition in the biomedical domain BioNLP Named entity recognition Radiology reports Spanish Named Entity Recognition in the clinical domain and in languages different from English has the difficulty of the absence of complete dictionaries, the informality of texts, the polysemy of terms, the lack of accordance in the boundaries of an entity, the scarcity of corpora and of other resources available. We present a Named Entity Recognition method for poorly resourced languages. The method was tested with Spanish radiology reports and compared with a conditional random fields system. © 2019, Springer Nature Switzerland AG. 2019 https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_18650929_v898_n_p233_Cotik http://hdl.handle.net/20.500.12110/paper_18650929_v898_n_p233_Cotik
institution Universidad de Buenos Aires
institution_str I-28
repository_str R-134
collection Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA)
topic BioNLP
Named entity recognition
Radiology reports
Spanish
spellingShingle BioNLP
Named entity recognition
Radiology reports
Spanish
Spanish named entity recognition in the biomedical domain
topic_facet BioNLP
Named entity recognition
Radiology reports
Spanish
description Named Entity Recognition in the clinical domain and in languages different from English has the difficulty of the absence of complete dictionaries, the informality of texts, the polysemy of terms, the lack of accordance in the boundaries of an entity, the scarcity of corpora and of other resources available. We present a Named Entity Recognition method for poorly resourced languages. The method was tested with Spanish radiology reports and compared with a conditional random fields system. © 2019, Springer Nature Switzerland AG.
title Spanish named entity recognition in the biomedical domain
title_short Spanish named entity recognition in the biomedical domain
title_full Spanish named entity recognition in the biomedical domain
title_fullStr Spanish named entity recognition in the biomedical domain
title_full_unstemmed Spanish named entity recognition in the biomedical domain
title_sort spanish named entity recognition in the biomedical domain
publishDate 2019
url https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_18650929_v898_n_p233_Cotik
http://hdl.handle.net/20.500.12110/paper_18650929_v898_n_p233_Cotik
_version_ 1768543440587456512

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