211 a 220 de 236 Resultados
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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Hennig, Sebastian; Garcia-Serrano, Ana, 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... |
18 dic. 2020 -
Reproducible experiments on the master thesis: An experimental survey of Named Entity Recognition methods in the biomedical domain
Texto plano - 6,1 KB -
MD5: 1dd80692aac37dccc56aa55ef2086581
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18 dic. 2020 -
Reproducible experiments on the master thesis: An experimental survey of Named Entity Recognition methods in the biomedical domain
Adobe PDF - 163,8 KB -
MD5: ceec87c68a5dc590ba4ad1dca2709bc6
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18 dic. 2020 -
Reproducible experiments on the master thesis: An experimental survey of Named Entity Recognition methods in the biomedical domain
application/mac-compactpro - 6,8 GB -
MD5: 63c928b1042bb5c9ddfab647d5c1c492
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,... |
Lastra-Díaz, Juan J.; Goikoetxea, Josu; Hadj Taieb, Mohamed Ali; Garcia-Serrano, Ana; Ben Aouicha, Mohamed; Agirre, Eneko, 2019, "Word similarity benchmarks of recent word embedding models and ontology-based semantic similarity measures", https://doi.org/10.21950/AQ1CVX, e-cienciaDatos, V2
This dataset is a companion reproducibility package of the related paper submitted for publication, whose aim is to allow the exact replication of a very large experimental survey on word similarity between the families of ontology-based semantic similarity measures and word embe... |
