A computational ecosystem to support eHealth Knowledge Discovery technologies in Spanish
Please use this identifier to cite or link to this item:
http://hdl.handle.net/10045/108381
Title: | A computational ecosystem to support eHealth Knowledge Discovery technologies in Spanish |
---|---|
Authors: | Piad-Morffis, Alejandro | Gutiérrez, Yoan | Almeida-Cruz, Yudivian | Muñoz, Rafael |
Research Group/s: | Procesamiento del Lenguaje y Sistemas de Información (GPLSI) |
Center, Department or Service: | Universidad de Alicante. Departamento de Lenguajes y Sistemas Informáticos | Universidad de Alicante. Instituto Universitario de Investigación Informática |
Keywords: | Knowledge discovery | Annotated corpora | Semantic annotation models | Entity recognition | Relation extraction | Natural language processing |
Knowledge Area: | Lenguajes y Sistemas Informáticos |
Issue Date: | Sep-2020 |
Publisher: | Elsevier |
Citation: | Journal of Biomedical Informatics. 2020, 109: 103517. https://doi.org/10.1016/j.jbi.2020.103517 |
Abstract: | The massive amount of biomedical information published online requires the development of automatic knowledge discovery technologies to effectively make use of this available content. To foster and support this, the research community creates linguistic resources, such as annotated corpora, and designs shared evaluation campaigns and academic competitive challenges. This work describes an ecosystem that facilitates research and development in knowledge discovery in the biomedical domain, specifically in Spanish language. To this end, several resources are developed and shared with the research community, including a novel semantic annotation model, an annotated corpus of 1045 sentences, and computational resources to build and evaluate automatic knowledge discovery techniques. Furthermore, a research task is defined with objective evaluation criteria, and an online evaluation environment is setup and maintained, enabling researchers interested in this task to obtain immediate feedback and compare their results with the state-of-the-art. As a case study, we analyze the results of a competitive challenge based on these resources and provide guidelines for future research. The constructed ecosystem provides an effective learning and evaluation environment to encourage research in knowledge discovery in Spanish biomedical documents. |
Sponsor: | 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/10045/108381 |
ISSN: | 1532-0464 (Print) | 1532-0480 (Online) |
DOI: | 10.1016/j.jbi.2020.103517 |
Language: | eng |
Type: | info:eu-repo/semantics/article |
Rights: | © 2020 Elsevier Inc. |
Peer Review: | si |
Publisher version: | https://doi.org/10.1016/j.jbi.2020.103517 |
Appears in Collections: | INV - GPLSI - Artículos de Revistas |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
Piad-Morffis_etal_2020_JBiomedInformat_final.pdf | Versión final (acceso restringido) | 1,1 MB | Adobe PDF | Open Request a copy |
Piad-Morffis_etal_2020_JBiomedInformat_preprint.pdf | Preprint (acceso abierto) | 424,81 kB | Adobe PDF | Open Preview |
Items in RUA are protected by copyright, with all rights reserved, unless otherwise indicated.