Extracting information from radiology reports by Natural Language Processing and Deep Learning

Martín-Caro García-Largo, Miguel Ángel; Segura-Bedmar, Isabel

e-Archivo Home
→
Investigación
→
Departamentos
→
Departamento de Informática
→
Grupo Human Language and Accessibility Technologies (HULAT)
→
DI - LABDA - Artículos de Revistas
→
View Item

Extracting information from radiology reports by Natural Language Processing and Deep Learning

Author(s): Martín-Caro García-Largo, Miguel Ángel; Segura-Bedmar, Isabel

Publisher: Ceur Workshop Proceedings

Issued date: 2021-09-21

Citation: Martín-Caro García-Largo, M.A., Segura-Bedmar, I. (21-24 de septiembre, 2021). Extracting information from radiology reports by Natural Language Processing and Deep Learning [Comunicación en congreso]. Conference and Labs of the Evaluation Forum, CLEF 2021, Bucarest.

ISBN: 1613-0073

xmlui.dri2xhtml.METS-1.0.item-contributor-funder: Comunidad de Madrid
Universidad Carlos III de Madrid

Sponsor: This work was supported by the NLP4RARE-CM-UC3M, which was developed under the Interdisciplinary Projects Program for Young Researchers at University Carlos III of Madrid. The work was also supported by the Multiannual Agreement with UC3M in the line of Excellence of University Professors (EPUC3M17), and in the context of the V PRICIT (Regional Programme of Research and Technological Innovation).

Publisher version: http://ceur-ws.org/Vol-2936/paper-67.pdf

Project: Comunidad de Madrid. NLP4Rare-CM-UC3M

Keywords: natural language processing , named-entity recognition , radiology reports , information extraction , crf , BERT , bilstm-crf

URI: http://hdl.handle.net/10016/35274

Rights: © 2021 Copyright for this paper by its authors.
Atribución 3.0 España