Encuesta satisfacción e-cienciaDatos
e-cienciaDatos es el repositorio de datos de investigación de las universidades del Consorcio Madroño. Es miembro de Harvard Dataverse Network, aceptado por las principales editoriales científicas y cumple los requisitos del H2020.
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10.561 a 10.570 de 14.379 Resultados
11 mar 2022 - Universidad Autónoma de Madrid
Campillos-Llanos, Leonardo; Capllonch-Carrión, Adrián; Valverde-Mateos, Ana; Moreno-Sandoval, Antonio, 2022, "Clinical Trials for Evidence-Based Medicine in Spanish (CT-EBM-SP) Corpus and word-embeddings", https://doi.org/10.21950/1YCBDV, e-cienciaDatos, V1
The NLPMedTerm project aims at providing the research community with resources for natural language processing (NLP) in the health domain for Spanish. A Work Package of the project is a corpus texts annotated with medical entities as a resource for experiments in Named Entity Rec... |
11 mar 2022 -
Clinical Trials for Evidence-Based Medicine in Spanish (CT-EBM-SP) Corpus and word-embeddings
Archivo ZIP - 2,5 MB -
MD5: 5c0a3c52427c67eb62804a489590a90f
Compressed file of the corpus documents: text files (.txt), annotations in BRAT format (.ann) and BRAT configuration files (annotation.conf, visual.conf) |
11 mar 2022 -
Clinical Trials for Evidence-Based Medicine in Spanish (CT-EBM-SP) Corpus and word-embeddings
Desconocido - 24,2 MB -
MD5: 5ae92ab4dd8b75d3a577bee2b76fa1f1
Binary file (and larger in size), to be used for the character n-grams information |
11 mar 2022 -
Clinical Trials for Evidence-Based Medicine in Spanish (CT-EBM-SP) Corpus and word-embeddings
Desconocido - 56,3 MB -
MD5: 815e0176d2f3f2b9062683ef14239725
Non-binary file containing the vector values and dimensions for each token |
11 mar 2022 -
Clinical Trials for Evidence-Based Medicine in Spanish (CT-EBM-SP) Corpus and word-embeddings
Desconocido - 38,1 MB -
MD5: 7eeef55f7dc9b0900b338c7f23963591
This file can be loaded to the Gensim library |
11 mar 2022 -
Clinical Trials for Evidence-Based Medicine in Spanish (CT-EBM-SP) Corpus and word-embeddings
Texto plano - 11,5 KB -
MD5: 7f40cef7cb5f3508de42b532e9e410cc
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2 mar 2022 - Universidad de Alcalá
Ledesma, Enrique; Jiménez-Valverde, Alberto; Salgado, José María; Ortuño, Vicente M., 2022, "APPENDIX 2 in Cholevinae (Coleoptera: Leiodidae) of the Sierra de Guadarrama National Park, Spain: occurrence in the MSS of a siliceous landscape", https://doi.org/10.5281/ZENODO.6324125
APPENDIX 2. — Distribution maps of all the Cholevinae species collected in the MSS of the Sierra de Guadarrama National Park, except for Choleva (Cholevopsis) punctata Brisout, 1866. | Published as part of Ledesma, Enrique, Jiménez-Valverde, Alberto, Salgado, José María & Ortuño,...Dataset recolectado desde DataCite con autores de la UAH. El enlace le llevará directamente a los datos originales en dicho archivo. |
28 feb 2022 - Universidad Carlos III de Madrid
Raul Fernandez-Fernandez; Marco Aggravi; Juan G. Victores; Paolo Robuffo Giordano; Claudio Pacchierotti, 2021, "Neural Policy Style Transfer with Twin-Delayed DDPG (NPST3)", https://doi.org/10.5281/ZENODO.5718542
Neural Policy Style Transfer with Twin-Delayed DDPG (NPST3) dataset. The research leading to these results has received funding from: RoboCity2030-DIH-CM, Madrid Robotics Digital Innovation Hub, S2018/NMT-4331, funded by “Programas de Actividades I+D en la Comunidad de Madrid” an...Dataset recolectado desde DataCite con autores de la UC3M. El enlace le llevará directamente a los datos originales en dicho archivo. |
Lara-Clares, Alicia; Lastra-Díaz, Juan José; Garcia-Serrano, Ana M., 2021, "Reproducible experiments on word and sentence similarity measures for the biomedical domain", https://doi.org/10.21950/EPNXTR, e-cienciaDatos, V2
This dataset introduces a set of reproducibility resources with the aim of allowing the exact replication of the experiments introduced by our main paper, which is a reproducible experimental survey on biomedical sentence similarity with the following aims: (1) to elucidate the s... |
17 feb 2022 -
Reproducible experiments on word and sentence similarity measures for the biomedical domain
Archivo Gzip - 3,8 MB -
MD5: cf57dfaf65f152043ff1f801da15ce75
This file contains the raw output files of a complete execution of the software clients
HESMLSTSImpactPreprocessingclient and HESMLSTSclient. |
