10.181 a 10.190 de 14.014 Resultados
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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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 |
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. |
17 feb 2022 -
Reproducible experiments on word and sentence similarity measures for the biomedical domain
Archivo ZIP - 65,8 MB -
MD5: 903d58ac1442816cfe8ea134741dbfe2
This file contains the Java and Python code for executing the experiments detailed in this dataset and develop in HESML V2R1. IMPORTANT NOTE!. If main link fails you can download this file from https://doi.org/10.21950/hesml_v2r1_githubRelease.zip |
