Knowledge Discovery in COVID-19 Research Literature

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Title: Knowledge Discovery in COVID-19 Research Literature
Authors: Piad-Morffis, Alejandro | Estévez-Velarde, Suilan | Estevanell-Valladares, Ernesto L. | Gutiérrez, Yoan | Montoyo, Andres | Muñoz, Rafael | Almeida-Cruz, Yudivian
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: COVID-19 | Research literature | Semantic model | Large corpora | Scientific documents
Knowledge Area: Lenguajes y Sistemas Informáticos
Issue Date: Dec-2020
Publisher: Association for Computational Linguistics
Citation: Proceedings of the 1st Workshop on NLP for COVID-19 (Part 2) at EMNLP 2020.
Abstract: This paper presents the preliminary results of an ongoing project that analyzes the growing body of scientific research published around the COVID-19 pandemic. In this research, a general-purpose semantic model is used to double annotate a batch of 500 sentences that were manually selected by the researchers from the CORD-19 corpus. Afterwards, a baseline text-mining pipeline is designed and evaluated via a large batch of 100,959 sentences. We present a qualitative analysis of the most interesting facts automatically extracted and highlight possible future lines of development. The preliminary results show that general-purpose semantic models are a useful tool for discovering fine-grained knowledge in large corpora of scientific documents.
Sponsor: This research has been supported by a Carolina Foundation grant in agreement with University of Alicante and University of Havana. Moreover, it has also been partially funded by both aforementioned universities, the Generalitat Valenciana (Conselleria d’Educació, Investigació, Cultura i Esport) and the Spanish Government through the projects LIVING-LANG (RTI2018-094653-B-C22) and SIIA (PROMETEO/2018/089).
Language: eng
Type: info:eu-repo/semantics/conferenceObject
Rights: Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License
Peer Review: si
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Appears in Collections:INV - GPLSI - Comunicaciones a Congresos, Conferencias, etc.

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