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Joint classification of key-phrases and relations in electronic health documents

Author
Medina, S.; Turmo, J.
Type of activity
Presentation of work at congresses
Name of edition
Workshop on Semantic Analysis at SEPLN 2018
Date of publication
2018
Presentation's date
2018-09-18
Book of congress proceedings
Proceedings of TASS 2018: Workshop on Semantic Analysis at SEPLN (TASS 2018) co-located with 34nd SEPLN Conference (SEPLN 2018): Sevilla, Spain, September 18th, 2018
First page
83
Last page
88
Publisher
CEUR-WS.org
Project funding
Semantic graph extraction from textual health histories
Repository
http://hdl.handle.net/2117/122975 Open in new window
URL
http://ceur-ws.org/Vol-2172/p9-talp_tass2018.pdf Open in new window
Abstract
Este artículo describe el método presentado por el equipo TALP en la Tarea 3 de TASS-2018: una red neuronal convolucional para tratar conjuntamente la clasificación de frases clave y sus relaciones en documentos de salud escritos en español. La propuesta quedó en primera posición en los escenarios 2 y 3. This paper describes the approach presented by the TALP team for Task 3 of TASS-2018: a convolutional neural network to jointly deal with classification of key-phrases and relationships in...
Citation
Medina, S., Turmo, J. Joint classification of key-phrases and relations in electronic health documents. A: Workshop on Semantic Analysis at SEPLN. "Proceedings of TASS 2018: Workshop on Semantic Analysis at SEPLN (TASS 2018) co-located with 34nd SEPLN Conference (SEPLN 2018): Sevilla, Spain, September 18th, 2018". CEUR-WS.org, 2018, p. 83-88.
Keywords
Convolutional neural networks, Joint classification, Key-phrase classification, Relation extraction
Group of research
GPLN - Natural Language Processing Group
IDEAI-UPC - Intelligent Data Science and Artificial Intelligence Research Center
TALP - Centre for Language and Speech Technologies and Applications

Participants

Attachments