Published January 17, 2019
| Version 2019-01-01
Dataset
Open
FastText and Word2Vec Spanish Medical Embeddings
Description
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[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.
To generate the word embedding two different approaches were used: Word2Vec and fastText.
For more information, we refer to the corresponding article: https://www.aclweb.org/anthology/W19-1916/
Notes
Funded by the Plan de Impulso de las Tecnologías del Lenguaje (Plan TL).
Files
Embeddings_2019-01-01.zip
Files
(8.6 GB)
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md5:e7a3dce00bcc156e150d45ae85e02be9
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Additional details
References
- Soares F, Villegas M, Gonzalez-Agirre A, Krallinger M, Armengol-Estapé J. Medical Word Embeddings for Spanish: Development and Evaluation. InProceedings of the 2nd Clinical Natural Language Processing Workshop 2019 Jun (pp. 124-133).
Subjects
- Natural language processing
- http://id.loc.gov/authorities/subjects/sh88002425