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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| Otros Autores: | , , , , |
| Formato: | Acta de conferencia Capítulo de libro |
| Lenguaje: | Inglés |
| Publicado: |
Springer Verlag
2019
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| Acceso en línea: | Registro en Scopus DOI Handle Registro en la Biblioteca Digital |
| Aporte de: | Registro referencial: Solicitar el recurso aquí |
| LEADER | 10435caa a22008777a 4500 | ||
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| 001 | PAPER-25855 | ||
| 003 | AR-BaUEN | ||
| 005 | 20230518205800.0 | ||
| 008 | 190410s2019 xx ||||fo|||| 00| 0 eng|d | ||
| 024 | 7 | |2 scopus |a 2-s2.0-85063486202 | |
| 040 | |a Scopus |b spa |c AR-BaUEN |d AR-BaUEN | ||
| 100 | 1 | |a Cotik, V. | |
| 245 | 1 | 0 | |a Spanish named entity recognition in the biomedical domain |
| 260 | |b Springer Verlag |c 2019 | ||
| 270 | 1 | 0 | |m Cotik, V.; Department of Computer Science, FCEyN, Universidad de Buenos AiresArgentina; email: vcotik@dc.uba.ar |
| 506 | |2 openaire |e Política editorial | ||
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| 504 | |a Batista-Navarro, R.T., Rak, R., Ananiadou, S., Chemistry-specific features and heuristics for developing a CRF-based chemical named entity recogniser (2013) Proceedings of the Fourth Biocreative Challenge Evaluation Workshop, 2, pp. 55-59. , vol., pp., Citeseer | ||
| 504 | |a Cascade, P.N., Berlin, L., Malpractice issues in radiology (1999) AJR Am. J. Roentgenol., 173 (6), pp. 1439-1442 | ||
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| 504 | |a Chapman, W.W., Cohen, K.B., Current issues in biomedical text mining and natural language processing (2009) J. Biomed. Inform., 42 (5), pp. 757-759 | ||
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| 504 | |a Cohen, A.M., Hersh, W.R., A survey of current work in biomedical text mining (2005) Brief. Bioinform., 6 (1), pp. 57-71 | ||
| 504 | |a Cotik, V., Filippo, D., Roller, R., Uszkoreit, H., Xu, F., Annotation of entities and relations in Spanish radiology reports (2017) In: Proceedings of the International Conference Recent Advances in Natural Language Processing, RANLP, 2017, pp. 177-184. , pp | ||
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| 504 | |a Jiang, J., Guan, Y., Zhao, C., WI-ENRE in CLEF eHealth evaluation lab 2015: Clinical named entity recognition based on CRF (2015) Working Notes of CLEF 2015-Conference and Labs of the Evaluation Forum, Toulouse, France | ||
| 504 | |a López Piñero, J.M., Terrada Ferrandis, M.L., (2005) Introducción a La terminología médica, , Masson S.A | ||
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| 504 | |a Leaman, R., Gonzalez, G., BANNER: An executable survey of advances in biomedical named entity recognition (2008) Proceedings of the Pacific Symposium on Bio-Computing, 13, pp. 652-663. , vol., pp | ||
| 504 | |a Moon, S., Pakhomov, S.V.S., Liu, N., Ryan, J.O., Melton, G.B., A sense inventory for clinical abbreviations and acronyms created using clinical notes and medical dictionary resources (2014) JAMIA, 21 (2), pp. 299-307 | ||
| 504 | |a Nadeau, D., Sekine, S., A survey of named entity recognition and classification (2007) Linguist. Investig., 30 (1), pp. 3-26. , https://doi.org/10.1075/li.30.1.03nad | ||
| 504 | |a Oronoz, M., Casillas, A., Gojenola, K., Perez, A., Automatic annotation of medical records in Spanish with disease, drug and substance names (2013) CIARP 2013. LNCS, 8259, pp. 536-543. , https://doi.org/10.1007/978-3-642-41827-367, Ruiz-Shulcloper, J., Sanniti di Baja, G. (eds.), pp., Springer, Heidelberg | ||
| 504 | |a Poibeau, T., Kosseim, L., Proper name extraction from non-journalistic texts (2000) In: Computational Linguistics in the Netherlands 2000, Selected Papers from the Eleventh CLIN Meeting, Tilburg, 3, pp. 144-157. , November, pp | ||
| 504 | |a Roller, R., Detecting named entities and relations in German clinical reports (2018) GSCL 2017. LNCS (LNAI), 10713, pp. 146-154. , https://doi.org/10.1007/978-3-319-73706-512, Rehm, G., Declerck, T. (eds.) | ||
| 504 | |a Santiso, S., Casillas, A., Pérez, A., Oronoz, M., Medical entity recognition and negation extraction: Assessment of NegEx on health records in Spanish (2017) IWBBIO 2017. LNCS, 10208, pp. 177-188. , https://doi.org/10.1007/978-3-319-56148-615, Rojas, I., Ortuño, F. (eds.), pp., Springer, Cham | ||
| 504 | |a Settles, B., Biomedical named entity recognition using conditional random fields and rich feature sets (2004) Proceedings of the COLING 2004 International Joint Workshop on Natural Language Processing in Biomedicine and Its Applications (Nlpba/Bionlp), COLING, p. 2004. , Association for Computational Linguistics, Stroudsburg | ||
| 504 | |a Shen, D., Zhang, J., Zhou, G., Su, J., Tan, C.L., Effective adaptation of a hidden Markov model-based named entity recognizer for biomedical domain (2003) Proceedings of the ACL 2003 Workshop on Natural Language Processing in Biomedicine, 13, pp. 49-56. , Association for Computational Linguistics | ||
| 504 | |a Simpson, M.S., Demner-Fushman, D., (2012) Biomedical Text Mining: A Survey of Recent Progress, pp. 465-517. , https://doi.org/10.1007/978-1-4614-3223-414, Aggarwal, C., Zhai, C. (eds.) Mining Text Data, pp., Springer, Boston | ||
| 504 | |a Sondhi, P., (2008) A Survey on Named Entity Extraction in the Biomedical Domain | ||
| 504 | |a Takeuchi, K., Collier, N., Bio-medical entity extraction using support vector machines (2005) Artif. Intell. Med., 33 (2), pp. 125-137 | ||
| 504 | |a Tasneem, A., Archana, B., A survey on biomedical named entity extraction Asian | ||
| 504 | |a (2016) J. Eng. Technol. Innov., 4 (7), pp. 25-28 | ||
| 504 | |a Uzuner, Ö., Solti, I., Cadag, E., Extracting medication information from clinical text (2010) J. Am. Med. Inform. Assoc., 17 (5), pp. 514-518 | ||
| 504 | |a Estopà, R., Vivaldi, J., Cabré, M.T., Use of Greek and Latin forms for term detection (2000) Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC 2000), 78, pp. 855-859. , vol., pp | ||
| 504 | |a Weegar, R., Casillas, A., de Ilarraza, A.D., Oronoz, M., Prez, A., Gojenola, K., The impact of simple feature engineering in multilingual medical NER (2016) Proceedings of the Clinical Natural Language Processing Workshop, pp. 1-6. , pp | ||
| 504 | |a Xu, H., Stetson, P.D., Friedman, C., A study of abbreviations in clinical notes (2007) AMIA 2007, American Medical Informatics Association Annual Symposium, , Chicago, IL, USAA4 - BBVA, Peru; North American Chapter of the ACL, USA; Telefónica del Perú, Peru | ||
| 520 | 3 | |a 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. |l eng | |
| 536 | |a Detalles de la financiación: National Academy of Medicine | ||
| 536 | |a Detalles de la financiación: http://www.redsamid.net/archivos/201612/diccionario-de-siglas-medicas.pdf?0 | ||
| 536 | |a Detalles de la financiación: 9 The paper is not available online. Results were discussed in a personal communica-tion. 10 In Spanish they usually occur before the terms of interest. 11Acronyms and abbreviations provided by the National Academy of Medicine of Colombia http://dic.idiomamedico.net/Siglas y abreviaturas and by the Span-ish Ministry of Health http://www.redsamid.net/archivos/201612/diccionario-de-siglas-medicas.pdf?0. | ||
| 593 | |a Department of Computer Science, FCEyN, Universidad de Buenos Aires, Buenos Aires, Argentina | ||
| 593 | |a Polytechnical University of Catalonia, Barcelona, Spain | ||
| 593 | |a Universitat Pompeu Fabra, Barcelona, Spain | ||
| 690 | 1 | 0 | |a BIONLP |
| 690 | 1 | 0 | |a NAMED ENTITY RECOGNITION |
| 690 | 1 | 0 | |a RADIOLOGY REPORTS |
| 690 | 1 | 0 | |a SPANISH |
| 700 | 1 | |a Rodríguez, H. | |
| 700 | 1 | |a Vivaldi, J. | |
| 700 | 1 | |a Alatrista-Salas H. | |
| 700 | 1 | |a Munante D. | |
| 700 | 1 | |a Lossio-Ventura J.A. | |
| 711 | 2 | |d 3 September 2018 through 5 September 2018 |g Código de la conferencia: 223899 | |
| 773 | 0 | |d Springer Verlag, 2019 |g v. 898 |h pp. 233-248 |p Commun. Comput. Info. Sci. |n Communications in Computer and Information Science |x 18650929 |z 9783030116798 |t 5th International Conference on Information Management and Big Data, SIMBig 2018 | |
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| 856 | 4 | 0 | |u https://doi.org/10.1007/978-3-030-11680-4_23 |y DOI |
| 856 | 4 | 0 | |u https://hdl.handle.net/20.500.12110/paper_18650929_v898_n_p233_Cotik |y Handle |
| 856 | 4 | 0 | |u https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_18650929_v898_n_p233_Cotik |y Registro en la Biblioteca Digital |
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| 999 | |c 86808 | ||