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ZENODO
Dataset . 2020
License: CC BY
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2020
License: CC BY
Data sources: Datacite
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FastText Spanish Medical Embeddings

Authors: Soares, Felipe; Villegas, Marta; Gonzalez-Agirre, Aitor; Armengol-Estapé, Jordi; Siamak Barzegar; Krallinger, Martin;

FastText Spanish Medical Embeddings

Abstract

[Plan TL/medicine/word embeddings] Word embeddings generated from Spanish corpora that include: (a) the full-text in Spanish available in SciELO.org (until December/2018), (b) all articles from the following Wikipedia categories: Pharmacology, Pharmacy, Medicine and Biology (during December/2018) and (c) the concatenation of the previous two corpora. We used fastText to train the word embeddings. For more information, we refer to the corresponding article: https://www.aclweb.org/anthology/W19-1916/ Copyright (c) 2021 Secretaría de Estado de Digitalización e Inteligencia Artificial

{"references": ["Soares F, Villegas M, Gonzalez-Agirre A, Krallinger M, Armengol-Estap\u00e9 J. Medical Word Embeddings for Spanish: Development and Evaluation. InProceedings of the 2nd Clinical Natural Language Processing Workshop 2019 Jun (pp. 124-133)."]}

Funded by the Plan de Impulso de las Tecnologías del Lenguaje (Plan TL) and the ICTUSnet project (https://ictusnet-sudoe.eu/en/)

Keywords

http://id.loc.gov/authorities/subjects/sh88002425, PlanTL, Natural Language Processing, Word Embeddings

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
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