Publication: Extracting information from radiology reports by Natural Language Processing and Deep Learning
dc.affiliation.dpto | UC3M. Departamento de Informática | es |
dc.affiliation.grupoinv | UC3M. Grupo de Investigación: Human Language and Accessibility Technologies (HULAT) | es |
dc.contributor.author | Martín-Caro García-Largo, Miguel Ángel | |
dc.contributor.author | Segura-Bedmar, Isabel | |
dc.contributor.funder | Comunidad de Madrid | es |
dc.contributor.funder | Universidad Carlos III de Madrid | es |
dc.date.accessioned | 2022-06-24T09:52:13Z | |
dc.date.available | 2022-06-24T09:52:13Z | |
dc.date.issued | 2021-09-21 | |
dc.description.sponsorship | 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). | en |
dc.identifier.bibliographicCitation | 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. | en |
dc.identifier.isbn | 1613-0073 | |
dc.identifier.publicationfirstpage | 804 | |
dc.identifier.publicationlastpage | 817 | |
dc.identifier.publicationtitle | CEUR Workshop Proceedings | en |
dc.identifier.publicationvolume | 2936 | |
dc.identifier.uri | https://hdl.handle.net/10016/35274 | |
dc.identifier.uxxi | CC/0000033451 | |
dc.language.iso | eng | |
dc.publisher | Ceur Workshop Proceedings | en |
dc.relation.eventdate | 2021-09-21 | |
dc.relation.eventplace | RUMANIA | es |
dc.relation.eventtitle | Conference and Labs of the Evaluation Forum (CLEF-WN 2021) | en |
dc.relation.projectID | Comunidad de Madrid. NLP4Rare-CM-UC3M | es |
dc.relation.publisherversion | http://ceur-ws.org/Vol-2936/paper-67.pdf | |
dc.rights | © 2021 Copyright for this paper by its authors. | en |
dc.rights | Atribución 3.0 España | * |
dc.rights.accessRights | open access | en |
dc.rights.uri | http://creativecommons.org/licenses/by/3.0/es/ | |
dc.subject.eciencia | Informática | es |
dc.subject.other | natural language processing | en |
dc.subject.other | named-entity recognition | en |
dc.subject.other | radiology reports | en |
dc.subject.other | information extraction | en |
dc.subject.other | crf | en |
dc.subject.other | BERT | en |
dc.subject.other | bilstm-crf | en |
dc.title | Extracting information from radiology reports by Natural Language Processing and Deep Learning | en |
dc.type | conference proceedings | * |
dc.type.hasVersion | VoR | * |
dspace.entity.type | Publication |
Files
Original bundle
1 - 1 of 1
Loading...
- Name:
- extracting_CLEF_2021.pdf
- Size:
- 622.73 KB
- Format:
- Adobe Portable Document Format
- Description: