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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| Autores principales: | , , , , , |
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| Formato: | SER |
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| Acceso en línea: | http://hdl.handle.net/20.500.12110/paper_18650929_v898_n_p233_Cotik |
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todo:paper_18650929_v898_n_p233_Cotik2023-10-03T16:33:36Z Spanish named entity recognition in the biomedical domain Cotik, V. Rodríguez, H. Vivaldi, J. Alatrista-Salas H. Munante D. Lossio-Ventura J.A. 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. SER info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by/2.5/ar 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 Cotik, V. Rodríguez, H. Vivaldi, J. Alatrista-Salas H. Munante D. Lossio-Ventura J.A. 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. |
| format |
SER |
| author |
Cotik, V. Rodríguez, H. Vivaldi, J. Alatrista-Salas H. Munante D. Lossio-Ventura J.A. |
| author_facet |
Cotik, V. Rodríguez, H. Vivaldi, J. Alatrista-Salas H. Munante D. Lossio-Ventura J.A. |
| author_sort |
Cotik, V. |
| 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 |
| url |
http://hdl.handle.net/20.500.12110/paper_18650929_v898_n_p233_Cotik |
| work_keys_str_mv |
AT cotikv spanishnamedentityrecognitioninthebiomedicaldomain AT rodriguezh spanishnamedentityrecognitioninthebiomedicaldomain AT vivaldij spanishnamedentityrecognitioninthebiomedicaldomain AT alatristasalash spanishnamedentityrecognitioninthebiomedicaldomain AT munanted spanishnamedentityrecognitioninthebiomedicaldomain AT lossioventuraja spanishnamedentityrecognitioninthebiomedicaldomain |
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1782029552854237184 |