Resultados totales (Incluyendo duplicados): 45603
Encontrada(s) 4561 página(s)
CORA.Repositori de Dades de Recerca
doi:10.34810/data328
Dataset. 2023

PANACEA SPANISH AUTOMATICALLY ACQUIRED LEXICON FOR LAB DOMAIN: SUBCATEGORIZATION FRAMES (V-SUBCAT)

  • Universitat Pompeu Fabra. Institut Universitari de Lingüística Aplicada (IULA)
-

Proyecto: //
DOI: https://doi.org/10.34810/data328
CORA.Repositori de Dades de Recerca
doi:10.34810/data328
HANDLE: https://doi.org/10.34810/data328
CORA.Repositori de Dades de Recerca
doi:10.34810/data328
PMID: https://doi.org/10.34810/data328
CORA.Repositori de Dades de Recerca
doi:10.34810/data328
Ver en: https://doi.org/10.34810/data328
CORA.Repositori de Dades de Recerca
doi:10.34810/data328

CORA.Repositori de Dades de Recerca
doi:10.34810/data329
Dataset. 2012

PANACEA SPANISH AUTOMATICALLY ACQUIRED LEXICON FOR ENV DOMAIN: LEXICAL SEMANTIC CLASSES FOR NOUNS

  • Universitat Pompeu Fabra. Institut Universitari de Lingüística Aplicada (IULA)
This is a domain-specific lexicon of for Spanish for environment (ENV) domain. This lexicon contains the a set of nouns classified into nine different semantic classes. It has been automatically created using the PANACEA web services for noun classification and the crawled data for this domain and language, previously annotated with FreeLing tagger.

Proyecto: //
DOI: https://doi.org/10.34810/data329
CORA.Repositori de Dades de Recerca
doi:10.34810/data329
HANDLE: https://doi.org/10.34810/data329
CORA.Repositori de Dades de Recerca
doi:10.34810/data329
PMID: https://doi.org/10.34810/data329
CORA.Repositori de Dades de Recerca
doi:10.34810/data329
Ver en: https://doi.org/10.34810/data329
CORA.Repositori de Dades de Recerca
doi:10.34810/data329

CORA.Repositori de Dades de Recerca
doi:10.34810/data32
Dataset. 2021

ANALYZING SHORT-TERM ACCOMMODATION PLATFORMS' INFLUENCE ON THE HOUSING AFFORDABILITY IN THE GLOBAL URBAN DESTINATIONS. CLUSTER ANALYSIS

  • Bissacco, Carlo Alberto
  • Meseguer, Antoni
  • Lladós, Josep
  • Morales, Soledad
  • Garay, Lluís
In the last decade, the housing markets of most major globalized urban destinations have progressively deteriorated, evidenced by a decrease in the availability and affordability of housing. Based on previous findings at city level and using k-means cluster analysis, this work reveals the influence of short-term-accommodation platforms (STAP) in this issue in the case of Barcelona, showing that the increase in housing rental prices is particularly significant in the "highly touristified", "trendy" or "more affluent" neighborhoods, where Airbnb listings are concentrated, and rental management is professionally handled. Moreover, this rise in prices is associated with the displacement of some of these neighborhoods' residents to other metropolitan areas, driving up their house prices. Based on these findings, we suggest adopting a management approach that considers the neighborhood as a management unit when designing the necessary regulations for housing and STAP supply. The present dataset shows the full list of articles analysed. The dataset, and ods file, is composed by the following sheets: 1. Codebook 2. Database

Proyecto: //
DOI: https://doi.org/10.34810/data32
CORA.Repositori de Dades de Recerca
doi:10.34810/data32
HANDLE: https://doi.org/10.34810/data32
CORA.Repositori de Dades de Recerca
doi:10.34810/data32
PMID: https://doi.org/10.34810/data32
CORA.Repositori de Dades de Recerca
doi:10.34810/data32
Ver en: https://doi.org/10.34810/data32
CORA.Repositori de Dades de Recerca
doi:10.34810/data32

CORA.Repositori de Dades de Recerca
doi:10.34810/data330
Dataset. 2023

PANACEA ANNOTATED DEPENDENCY GREEK ENVIRONMENT CORPUS VERSION 2

  • Institute for Language and Speech Processing / Athena Research Center
-

Proyecto: //
DOI: https://doi.org/10.34810/data330
CORA.Repositori de Dades de Recerca
doi:10.34810/data330
HANDLE: https://doi.org/10.34810/data330
CORA.Repositori de Dades de Recerca
doi:10.34810/data330
PMID: https://doi.org/10.34810/data330
CORA.Repositori de Dades de Recerca
doi:10.34810/data330
Ver en: https://doi.org/10.34810/data330
CORA.Repositori de Dades de Recerca
doi:10.34810/data330

CORA.Repositori de Dades de Recerca
doi:10.34810/data331
Dataset. 2023

PANACEA LABOUR BILINGUAL GLOSSARY EL-EN (GREEK-ENGLISH)

  • Dublin City University. School of Computing
This folder contains files for bilingual glossary creation from factored phrase tables that include part of speech tagged text for for EL-EN language pair. The tables are firstly filtered using part of speech tag sequences for each language so that entries with unsuitable part of speech sequences are filtered out. Then, feature scores from the phrase table are combined in a log-linear model to score each entry. The user specifies how large the output glossary should be (relative to the input) and the bottom ranking entries are discarded to produce the desired size glossary.

Proyecto: //
DOI: https://doi.org/10.34810/data331
CORA.Repositori de Dades de Recerca
doi:10.34810/data331
HANDLE: https://doi.org/10.34810/data331
CORA.Repositori de Dades de Recerca
doi:10.34810/data331
PMID: https://doi.org/10.34810/data331
CORA.Repositori de Dades de Recerca
doi:10.34810/data331
Ver en: https://doi.org/10.34810/data331
CORA.Repositori de Dades de Recerca
doi:10.34810/data331

CORA.Repositori de Dades de Recerca
doi:10.34810/data33
Dataset. 2024

HOW2SIGN: A LARGE-SCALE MULTIMODAL DATASET FOR CONTINUOUS AMERICAN SIGN LANGUAGE

  • Cardoso Duarte, Amanda
  • Giró Nieto, Xavier
  • Palaskar, Shruti
  • Ghadiyaram, Deepti
  • Haan, Kenneth de
  • Metze, Florian
  • Torres Viñals, Jordi
How2Sign consists of a parallel corpus of 80 hours of sign language videos (collected with multi-view RGB and depth sensor data) with corresponding speech transcriptions and gloss annotations. In addition, a three-hour subset was further recorded in a geodesic dome setup using hundreds of cameras and sensors, which enables detailed 3D reconstruction and pose estimation and paves the way for vision systems to understand the 3D geometry of sign language.

Proyecto: //
DOI: https://doi.org/10.34810/data33
CORA.Repositori de Dades de Recerca
doi:10.34810/data33
HANDLE: https://doi.org/10.34810/data33
CORA.Repositori de Dades de Recerca
doi:10.34810/data33
PMID: https://doi.org/10.34810/data33
CORA.Repositori de Dades de Recerca
doi:10.34810/data33
Ver en: https://doi.org/10.34810/data33
CORA.Repositori de Dades de Recerca
doi:10.34810/data33

CORA.Repositori de Dades de Recerca
doi:10.34810/data332
Dataset. 2012

PANACEA ENVIRONMENT BILINGUAL GLOSSARY EL-EN (GREEK-ENGLISH)

  • Dublin City University. School of Computing
This folder contains files for bilingual glossary creation from factored phrase tables that include part of speech tagged text for EL-EN language pair. The tables are firstly filtered using part of speech tag sequences for each language so that entries with unsuitable part of speech sequences are filtered out. Then, feature scores from the phrase table are combined in a log-linear model to score each entry. The user specifies how large the output glossary should be (relative to the input) and the bottom ranking entries are discarded to produce the desired size glossary.

Proyecto: //
DOI: https://doi.org/10.34810/data332
CORA.Repositori de Dades de Recerca
doi:10.34810/data332
HANDLE: https://doi.org/10.34810/data332
CORA.Repositori de Dades de Recerca
doi:10.34810/data332
PMID: https://doi.org/10.34810/data332
CORA.Repositori de Dades de Recerca
doi:10.34810/data332
Ver en: https://doi.org/10.34810/data332
CORA.Repositori de Dades de Recerca
doi:10.34810/data332

CORA.Repositori de Dades de Recerca
doi:10.34810/data333
Dataset. 2023

PANACEA BILINGUAL GLOSSARY GERMAN-ENGLISH WITH CONTEXTUAL TRANSFER INFORMATION

  • Linguatec GmbH
-

Proyecto: //
DOI: https://doi.org/10.34810/data333
CORA.Repositori de Dades de Recerca
doi:10.34810/data333
HANDLE: https://doi.org/10.34810/data333
CORA.Repositori de Dades de Recerca
doi:10.34810/data333
PMID: https://doi.org/10.34810/data333
CORA.Repositori de Dades de Recerca
doi:10.34810/data333
Ver en: https://doi.org/10.34810/data333
CORA.Repositori de Dades de Recerca
doi:10.34810/data333

CORA.Repositori de Dades de Recerca
doi:10.34810/data334
Dataset. 2023

PANACEA ITALIAN AUTOMATICALLY ACQUIRED LEXICON FOR LAB DOMAIN: SUBCATEGORIZATION FRAMES (V-SUBCAT)

  • Consiglio Nazionale delle Ricerche. Istituto di Linguistica Computazionale "Antonio Zampolli"
-

Proyecto: //
DOI: https://doi.org/10.34810/data334
CORA.Repositori de Dades de Recerca
doi:10.34810/data334
HANDLE: https://doi.org/10.34810/data334
CORA.Repositori de Dades de Recerca
doi:10.34810/data334
PMID: https://doi.org/10.34810/data334
CORA.Repositori de Dades de Recerca
doi:10.34810/data334
Ver en: https://doi.org/10.34810/data334
CORA.Repositori de Dades de Recerca
doi:10.34810/data334

CORA.Repositori de Dades de Recerca
doi:10.34810/data335
Dataset. 2012

PANACEA ENVIRONMENT CORPUS N-GRAMS ES (SPANISH)

  • Universitat Pompeu Fabra. Institut Universitari de Lingüística Aplicada (IULA)
This data set contains Spanish word n-grams and Spanish word/tag/lemma n-grams in the "Environment" (ENV) domain. N-grams are accompanied by their observed frequency counts. The length of the n-grams ranges from unigrams (single words) to five-grams. The data were collected in the context of PANACEA (http://www.panacea-lr.eu), an EU-FP7 Funded Project under Grant Agreement 248064. The n-gram counts were generated from crawled Web pages that were automatically detected to be in the Spanish language and were automatically classified as relevant to the ENV domain. The ENV domain collection used consisted of approximately 49.86 million tokens. Data collection took place in the summer of 2011.

Proyecto: //
DOI: https://doi.org/10.34810/data335
CORA.Repositori de Dades de Recerca
doi:10.34810/data335
HANDLE: https://doi.org/10.34810/data335
CORA.Repositori de Dades de Recerca
doi:10.34810/data335
PMID: https://doi.org/10.34810/data335
CORA.Repositori de Dades de Recerca
doi:10.34810/data335
Ver en: https://doi.org/10.34810/data335
CORA.Repositori de Dades de Recerca
doi:10.34810/data335

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