Overview of the eHealth Knowledge Discovery Challenge at IberLEF 2020
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Título: | Overview of the eHealth Knowledge Discovery Challenge at IberLEF 2020 |
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Autor/es: | Piad-Morffis, Alejandro | Gutiérrez, Yoan | Cañizares-Diaz, Hian | Estévez-Velarde, Suilan | Muñoz, Rafael | Montoyo, Andres | Almeida-Cruz, Yudivian |
Grupo/s de investigación o GITE: | Procesamiento del Lenguaje y Sistemas de Información (GPLSI) |
Centro, Departamento o Servicio: | Universidad de Alicante. Departamento de Lenguajes y Sistemas Informáticos | Universidad de Alicante. Instituto Universitario de Investigación Informática |
Palabras clave: | eHealth | Knowledge Discovery | Natural Language Processing | Machine Learning |
Área/s de conocimiento: | Lenguajes y Sistemas Informáticos |
Fecha de publicación: | 2020 |
Editor: | CEUR |
Cita bibliográfica: | Piad-Morffis, Alejandro, et al. “Overview of the eHealth Knowledge Discovery Challenge at IberLEF 2020”. In: Proceedings of the Iberian Languages Evaluation Forum (IberLEF 2020). CEUR Workshop Proceedings, Vol-2664, pp. 71-84 |
Resumen: | This paper summarises the results of the third edition of the eHealth Knowledge Discovery (KD) challenge, hosted at the Iberian Language Evaluation Forum 2020. The eHealth-KD challenge proposes two computational tasks involving the identification of semantic entities and relations in natural language text, focusing on Spanish language health documents. In this edition, besides text extracted from medical sources, Wikipedia content was introduced into the corpus, and a novel transfer-learning evaluation scenario was designed that challenges participants to create systems that provide cross-domain generalisation. A total of eight teams participated with a variety of approaches including deep learning end-to-end systems as well as rule-based and knowledge-driven techniques. This paper analyses the most successful approaches and highlights the most interesting challenges for future research in this field. |
Patrocinador/es: | This research has been partially supported by the University of Alicante and University of Havana, the Generalitat Valenciana (Conselleria d’Educació, Investigació, Cultura i Esport) and the Spanish Government through the projects SIIA (PROMETEO/2018/089, PROMETEU/2018/089) and LIVING-LANG (RTI2018-094653-B-C22). |
URI: | http://hdl.handle.net/10045/109571 |
ISSN: | 1613-0073 |
Idioma: | eng |
Tipo: | info:eu-repo/semantics/conferenceObject |
Derechos: | © 2020 Copyright for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0) |
Revisión científica: | si |
Versión del editor: | http://ceur-ws.org/Vol-2664/ |
Aparece en las colecciones: | INV - GPLSI - Comunicaciones a Congresos, Conferencias, etc. |
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Piad-Morffis_etal_2020_IberLEF.pdf | 447,46 kB | Adobe PDF | Abrir Vista previa | |
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