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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Publicado: |
2019
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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: |
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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