Universidad Nacional de Educación a Distancia (UNED)

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3,641 to 3,650 of 3,662 Results

Reproducible experiments on the master thesis: An experimental survey of Named Entity Recognition methods in the biomedical domain Dec 18, 2020 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 Language Processing has increased in the last years due to its relevance...
readme_EN.txt Dec 18, 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 Dec 18, 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 Dec 18, 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, you should go top the NLM license page, https://uts.nlm.nih.gov//licen...
RepLab Summarization Dataset Jul 17, 2020 Rodríguez-Vidal, Javier; Carrillo-de-Albornoz, Jorge; Amigó, Enrique; Plaza, Laura; Gonzalo, Julio; Verdejo, Felisa, 2019, "RepLab Summarization Dataset", https://doi.org/10.5281/ZENODO.2536800 RepLab Summarization Dataset This package contains the dataset generated in the research published in the paper: "Javier Rodríguez-Vidal, Jorge Carrillo-de-Albornoz, Enrique Amigó, Laura Plaza, Julio Gonzalo and Felisa Verdejo. 2019. Automatic Generation of Entity-Oriented Summaries for Reputation Management. Ambient Intelligence & Humanized Comput... Dataset recolectado desde DataCite con autores de la UNED. El enlace le llevará directamente a los datos originales en dicho archivo.
Word similarity benchmarks of recent word embedding models and ontology-based semantic similarity measures Oct 31, 2019 Lastra-Díaz, Juan J.; Goikoetxea, Josu; Hadj Taieb, Mohamed Ali; Garcia-Serrano, Ana M.; 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 embedding models as detailed in ‘appendix-reproducible-experiments.pdf’ fi...
embeddings_vs_ontomeasures_final_tables.R Oct 31, 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 Jan 29, 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 Jan 29, 2019 - Word similarity benchmarks of recent word embedding models and ontology-based semantic similarity measures Desconocido - 53,0 KB - MD5: 1dbd8b637fbc07ff760ed182692a07ab
embeddings_vs_ontomeasures_final_tables.R Jan 29, 2019 - Word similarity benchmarks of recent word embedding models and ontology-based semantic similarity measures Sintasis R - 40,8 KB - MD5: 3703d2cae12ce8dad349bb0862156abb

Reproducible experiments on the master thesis: An experimental survey of Named Entity Recognition methods in the biomedical domain

Dec 18, 2020

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 Language Processing has increased in the last years due to its relevance...

readme_EN.txt

Dec 18, 2020 - Reproducible experiments on the master thesis: An experimental survey of Named Entity Recognition methods in the biomedical domain

Texto plano - 6,1 KB -

Reproduction_protocol.pdf

Dec 18, 2020 - Reproducible experiments on the master thesis: An experimental survey of Named Entity Recognition methods in the biomedical domain

Adobe PDF - 163,8 KB -

ubner_public_experiments.gz.cpt

Dec 18, 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 -

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, you should go top the NLM license page, https://uts.nlm.nih.gov//licen...

RepLab Summarization Dataset

Jul 17, 2020

Rodríguez-Vidal, Javier; Carrillo-de-Albornoz, Jorge; Amigó, Enrique; Plaza, Laura; Gonzalo, Julio; Verdejo, Felisa, 2019, "RepLab Summarization Dataset", https://doi.org/10.5281/ZENODO.2536800

RepLab Summarization Dataset This package contains the dataset generated in the research published in the paper: "Javier Rodríguez-Vidal, Jorge Carrillo-de-Albornoz, Enrique Amigó, Laura Plaza, Julio Gonzalo and Felisa Verdejo. 2019. Automatic Generation of Entity-Oriented Summaries for Reputation Management. Ambient Intelligence & Humanized Comput...

Dataset recolectado desde DataCite con autores de la UNED. El enlace le llevará directamente a los datos originales en dicho archivo.

Word similarity benchmarks of recent word embedding models and ontology-based semantic similarity measures

Oct 31, 2019

Lastra-Díaz, Juan J.; Goikoetxea, Josu; Hadj Taieb, Mohamed Ali; Garcia-Serrano, Ana M.; 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 embedding models as detailed in ‘appendix-reproducible-experiments.pdf’ fi...

embeddings_vs_ontomeasures_final_tables.R

Oct 31, 2019 - Word similarity benchmarks of recent word embedding models and ontology-based semantic similarity measures

Sintasis R - 46,5 KB -

Datos

appendix-reproducible-experiments.pdf

Jan 29, 2019 - Word similarity benchmarks of recent word embedding models and ontology-based semantic similarity measures

Adobe PDF - 278,8 KB -

benchmark_survey.exp

Jan 29, 2019 - Word similarity benchmarks of recent word embedding models and ontology-based semantic similarity measures

Desconocido - 53,0 KB -

embeddings_vs_ontomeasures_final_tables.R

Jan 29, 2019 - Word similarity benchmarks of recent word embedding models and ontology-based semantic similarity measures