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    • Almeida-Cruz, Yudivian (4)
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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 4 of 4 1 Demo Application for the AutoGOAL Framework Almeida-Cruz, Yudivian; Montoyo, Andres; Muñoz, Rafael. - : Association for Computational Linguistics, 2020 BASE Show details 2 Automatic Discovery of Heterogeneous Machine Learning Pipelines: An Application to Natural Language Processing Estévez-Velarde, Suilan; Gutiérrez, Yoan; Almeida-Cruz, Yudivian. - : Association for Computational Linguistics, 2020 BASE Show details 3 Knowledge Discovery in COVID-19 Research Literature Montoyo, Andres; Estevanell-Valladares, Ernesto L.; Almeida-Cruz, Yudivian; Muñoz, Rafael; Estévez-Velarde, Suilan; Gutiérrez, Yoan; Piad-Morffis, Alejandro. - : Association for Computational Linguistics, 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. ; 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). Keyword: COVID-19; Large corpora; Lenguajes y Sistemas Informáticos; Research literature; Scientific documents; Semantic model URL: http://hdl.handle.net/10045/110386 BASE Hide details 4 A computational ecosystem to support eHealth Knowledge Discovery technologies in Spanish Piad-Morffis, Alejandro; Gutiérrez, Yoan; Almeida-Cruz, Yudivian. - : Elsevier, 2020 BASE Show details

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