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

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Document typeConference report
Defense date2018
PublisherCEUR-WS.org
Rights accessOpen Access
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Abstract
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 eHealth documents written in Spanish. The results obtained are promising as we ranked in first place in scenarios 2 and 3. 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.
CitationMedina, 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.
ISBN1613-0073
Publisher versionhttp://ceur-ws.org/Vol-2172/p9-talp_tass2018.pdf
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