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511 a 520 de 531 Resultados
readme.pdf
readme.pdf
30 abr 2021 - Reproducibility dataset for a benchmark of biomedical semantic measures libraries
Adobe PDF - 437,8 KB - MD5: 352489b0a4478adbde75ca4790159e7b
hesml-biomedical-benchmark.tar.gz.cpt
16 abr 2021 - Reproducibility dataset for a benchmark of biomedical semantic measures libraries
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,...
rawoutput-run1.tar.gz
16 abr 2021 - Reproducibility dataset for a benchmark of biomedical semantic measures libraries
Archivo Gzip - 573,0 KB - MD5: f21249e966162907d8c08edeb7f1851a
rawoutput-run2.tar.gz
16 abr 2021 - Reproducibility dataset for a benchmark of biomedical semantic measures libraries
Archivo Gzip - 573,5 KB - MD5: 53086a1feda2458b97dfad161fc256f5
readme_EN.txt
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
Reproduction_protocol.pdf
Reproduction_protocol.pdf
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
ubner_public_experiments.gz.cpt
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,...
embeddings_vs_ontomeasures_final_tables.R
31 oct 2019 - Word similarity benchmarks of recent word embedding models and ontology-based semantic similarity measures
Sintasis R - 46,5 KB - MD5: db5cf18c43c60bc151793ea3d62db470
Datos
appendix-reproducible-experiments.pdf
appendix-reproducible-experiments.pdf
29 ene 2019 - Word similarity benchmarks of recent word embedding models and ontology-based semantic similarity measures
Adobe PDF - 278,8 KB - MD5: c35e28086040251b163c5960c7a0c53b
benchmark_survey.exp
29 ene 2019 - Word similarity benchmarks of recent word embedding models and ontology-based semantic similarity measures
Desconocido - 53,0 KB - MD5: 1dbd8b637fbc07ff760ed182692a07ab
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