Conferencia

Cotik, V.; Filippo, D.; Roller, R.; Uszkoreit, H.; Xu, F.; Mitkov R.; Temnikova I.; Bontcheva K.; Nikolova I.; Angelova G. "Annotation of entities and relations in Spanish radiology reports" (2017) 11th International Conference on Recent Advances in Natural Language Processing, RANLP 2017. 2017-September:177-184
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Abstract:

Radiology reports express the results of a radiology study and contain information about anatomical entities, findings, measures and impressions of the medical doctor. The use of information extraction techniques can help physicians to access this information in order to understand data and to infer further knowledge. Supervised machine learning methods are very popular to address information extraction, but are usually domain and language dependent. To train new classification models, annotated data is required. Moreover, annotated data is also required as an evaluation resource of information extraction algorithms. However, one major drawback of processing clinical data is the low availability of annotated datasets. For this reason we performed a manual annotation of radiology reports written in Spanish. This paper presents the corpus, the annotation schema, the annotation guidelines and further insight of the data. © 2018 Association for Computational Linguistics (ACL). All rights reserved.

Registro:

Documento: Conferencia
Título:Annotation of entities and relations in Spanish radiology reports
Autor:Cotik, V.; Filippo, D.; Roller, R.; Uszkoreit, H.; Xu, F.; Mitkov R.; Temnikova I.; Bontcheva K.; Nikolova I.; Angelova G.
Filiación:Departamento de Computatión, FCEyN, UBA, Argentina
Hospital De Pediatría, Prof. Dr. Juan P. Garrahan, Argentina
Language Technology Lab., DFKI, Berlin, Germany
Palabras clave:Artificial intelligence; Data handling; Deep learning; Information retrieval; Information use; Learning algorithms; Natural language processing systems; Radiation; Radiology; Supervised learning; Annotated datasets; Classification models; Information extraction techniques; Manual annotation; Medical doctors; Radiology reports; Spanish Radiology; Supervised machine learning; Data mining
Año:2017
Volumen:2017-September
Página de inicio:177
Página de fin:184
DOI: http://dx.doi.org/10.26615/978-954-452-049-6-025
Título revista:11th International Conference on Recent Advances in Natural Language Processing, RANLP 2017
Título revista abreviado:Int. Conf. Recent Adv. Nat. Lang. Proces., RANLP
ISSN:13138502
Registro:https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_13138502_v2017-September_n_p177_Cotik

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Citas:

---------- APA ----------
Cotik, V., Filippo, D., Roller, R., Uszkoreit, H., Xu, F., Mitkov R., Temnikova I.,..., Angelova G. (2017) . Annotation of entities and relations in Spanish radiology reports. 11th International Conference on Recent Advances in Natural Language Processing, RANLP 2017, 2017-September, 177-184.
http://dx.doi.org/10.26615/978-954-452-049-6-025
---------- CHICAGO ----------
Cotik, V., Filippo, D., Roller, R., Uszkoreit, H., Xu, F., Mitkov R., et al. "Annotation of entities and relations in Spanish radiology reports" . 11th International Conference on Recent Advances in Natural Language Processing, RANLP 2017 2017-September (2017) : 177-184.
http://dx.doi.org/10.26615/978-954-452-049-6-025
---------- MLA ----------
Cotik, V., Filippo, D., Roller, R., Uszkoreit, H., Xu, F., Mitkov R., et al. "Annotation of entities and relations in Spanish radiology reports" . 11th International Conference on Recent Advances in Natural Language Processing, RANLP 2017, vol. 2017-September, 2017, pp. 177-184.
http://dx.doi.org/10.26615/978-954-452-049-6-025
---------- VANCOUVER ----------
Cotik, V., Filippo, D., Roller, R., Uszkoreit, H., Xu, F., Mitkov R., et al. Annotation of entities and relations in Spanish radiology reports. Int. Conf. Recent Adv. Nat. Lang. Proces., RANLP. 2017;2017-September:177-184.
http://dx.doi.org/10.26615/978-954-452-049-6-025