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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Detalles Bibliográficos
Autores principales: Cotik, V., Rodríguez, H., Vivaldi, J., Alatrista-Salas H., Munante D., Lossio-Ventura J.A.
Formato: SER
Materias:
BioNLP
Named entity recognition
Radiology reports
Spanish
Acceso en línea: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
Descripción
Sumario: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.

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