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ZENODO
Dataset . 2021
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2021
License: CC BY
Data sources: Datacite
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Spanish Biomedical Word Embeddings in FastText

Authors: Gutiérrez-Fandiño, Asier; Armengol-Estapé, Jordi; Carrino, Casimiro Pio; De Gibert, Ona; Gonzalez-Agirre, Aitor; Villegas, Marta;

Spanish Biomedical Word Embeddings in FastText

Abstract

Spanish Biomedical Word Embeddings in FastText These word embeddings have been generated from the largest corpus ever made from Spanish Biomedicine resources till the date. The corpus has more than 6Gb of curated high quality text. For previous version (v2) see: https://zenodo.org/record/3744326#.YCu3fGj0mUk Citation @misc{temu2021spanish, title={Spanish Biomedical and Clinical Language Embeddings}, author={Asier Gutiérrez-Fandiño and Jordi Armengol-Estapé and Casimiro Pio Carrino and Ona De Gibert and Aitor Gonzalez-Agirre and Marta Villegas}, year={2021}, eprint={2102.12843}, archivePrefix={arXiv}, primaryClass={cs.CL} } Copyright (c) 2021 Text Mining Unit - Barcelona Supercomputing Center

Funded by the Plan de Impulso de las Tecnologías del Lenguaje (Plan TL).

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Keywords

Biomedical, FastText, Word Embeddings, Spanish, Natural Language Processing

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selected citations
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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.
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