Medical NLP (maintained by NLP4BIA unit at BSC)– language technology resources for clinical and biomedical documents in multiple languages

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Published January 23, 2020 | Version 2020-01-01
Dataset Open

FastText and Word2Vec Spanish Medical Embeddings

Creators

  • 1. BSC

Description

[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_2020-01-23.zip

Files (20.4 GB)

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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