Encuesta satisfacción e-cienciaDatos
e-cienciaDatos es el repositorio de datos de investigación de las universidades del Consorcio Madroño. Es aceptado por las principales editoriales científicas
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3.581 a 3.590 de 3.609 Resultados
application/mac-compactpro - 4,0 GB -
MD5: 3c74a196b4775bc558986f597bfa9f73
In order to obtain a decrypt password for this, you should sign and obtain a license for the National Library of Medicine (NLM) of the United States to use the UMLS Metathesaurus databases, as well as SNOMED-CT and MeSH ontologies included in this Docker image. For this purpose,... |
application/mac-compactpro - 73,9 MB -
MD5: 36dc6139142c18e2b50c5bd8fa573e5f
In order to obtain a decrypt password for this, you should sign and obtain a license for the National Library of Medicine (NLM) of the United States to use the UMLS Metathesaurus databases, as well as SNOMED-CT and MeSH ontologies included in this Docker image. For this purpose,... |
Adobe PDF - 437,8 KB -
MD5: 352489b0a4478adbde75ca4790159e7b
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application/mac-compactpro - 66,0 GB -
MD5: cf5d23e515313d35a1a3d959e0140ed9
In order to obtain a decrypt password for this, you should sign and obtain a license for the National Library of Medicine (NLM) of the United States to use the UMLS Metathesaurus databases, as well as SNOMED-CT and MeSH ontologies included in this Docker image. For this purpose,... |
Archivo Gzip - 573,0 KB -
MD5: f21249e966162907d8c08edeb7f1851a
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Archivo Gzip - 573,5 KB -
MD5: 53086a1feda2458b97dfad161fc256f5
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23 dic 2020
Toscano, Maurizio; Aitor Díaz, 2020, "Mapping digital humanities in Spain - 1993-2019", https://doi.org/10.5281/ZENODO.3893545
Mapping digital humanities in Spain (1993-2019) This dataset has been extensively analysed in the following paper https://doi.org/10.3145/epi.2020.nov.01 and has also been used for the following poster https://doi.org/10.5281/zenodo.4256689Dataset recolectado desde DataCite con autores de la UNED. El enlace le llevará directamente a los datos originales en dicho archivo. |
Hennig, Sebastian; Garcia-Serrano, Ana M., 2020, "Reproducible experiments on the master thesis: An experimental survey of Named Entity Recognition methods in the biomedical domain", https://doi.org/10.21950/DYAZRE, e-cienciaDatos, V1
Semantic Textual Similarity (also known as Semantic Short-text Similarity) is a research problem that aims to calculate the similarity among text units (phrases, sentences, paragraphs or texts) focusing on the semantic content. The importance of Semantic Similarity in Natural Lan... |
Texto plano - 6,1 KB -
MD5: 1dd80692aac37dccc56aa55ef2086581
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Adobe PDF - 163,8 KB -
MD5: ceec87c68a5dc590ba4ad1dca2709bc6
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