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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/
{"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).
http://id.loc.gov/authorities/subjects/sh88002425, PlanTL, Natural Language Processing, Word Embeddings
http://id.loc.gov/authorities/subjects/sh88002425, PlanTL, Natural Language Processing, Word Embeddings
| 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). | 1 | |
| 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. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
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| downloads | 28 |

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