Resultados totales (Incluyendo duplicados): 45603
Encontrada(s) 4561 página(s)
CORA.Repositori de Dades de Recerca
doi:10.34810/data258
Dataset. 2010

AQUALEXIC

  • Alonso, Araceli
Base de datos en Access con la finalidad de gestionar y realizar el tratamiento de los elementos pricipales de análisis (lemas, formas, ocurrencias, combinaciones (colocaciones), colocados y usos) de unidades léxicas nominales representativas del área del Medio Ambiente.

Proyecto: //
DOI: https://doi.org/10.34810/data258
CORA.Repositori de Dades de Recerca
doi:10.34810/data258
HANDLE: https://doi.org/10.34810/data258
CORA.Repositori de Dades de Recerca
doi:10.34810/data258
PMID: https://doi.org/10.34810/data258
CORA.Repositori de Dades de Recerca
doi:10.34810/data258
Ver en: https://doi.org/10.34810/data258
CORA.Repositori de Dades de Recerca
doi:10.34810/data258

CORA.Repositori de Dades de Recerca
doi:10.34810/data259
Dataset. 2010

APLICACIÓ LEXICOGRÀFICA PER ALS CONNECTORS REFORMULATIUS: ALCOR

  • Bach, Carme, 1971-
Es tracta d'una proposta de representació lexicogràfica dels connectors reformulatius (ALCOR) implementada en html, hipertextual i dinàmica. Aquesta eina pretén ser una ajuda per als lexicògrafs en la realització de diccionaris i més concretament en la inclusió dels connectors.

Proyecto: //
DOI: https://doi.org/10.34810/data259
CORA.Repositori de Dades de Recerca
doi:10.34810/data259
HANDLE: https://doi.org/10.34810/data259
CORA.Repositori de Dades de Recerca
doi:10.34810/data259
PMID: https://doi.org/10.34810/data259
CORA.Repositori de Dades de Recerca
doi:10.34810/data259
Ver en: https://doi.org/10.34810/data259
CORA.Repositori de Dades de Recerca
doi:10.34810/data259

CORA.Repositori de Dades de Recerca
doi:10.34810/data260
Dataset. 2015

STRUCTURE OF LEXICON IN THE AUTOMATIC ACQUISITION OF LEXICAL INFORMATION [RESEARCH DATA]

  • Romeo, Lauren Michele
Research data from the thesis Structure of lexicon in the automatic acquisition of lexical information. MONO-DATASETS: contains files of the single-sense English data sets extracted for each lexical semantic class studied in the thesis (COMMUNICATION_OBJECT, EVENT, HUMAN, LOCATION and ORGANIZATION). Each data set contains a list of nouns and their class membership information; and (ii) LEXICO-SYNTACTIC-REs: contains files of the linguistic cues and corresponding lexical-syntactic patterns formalized as Regular Expressions for each of the single-sense English lexical semantic classes studied in this thesis (COMMUNICATION_OBJECT, EVENT, HUMAN, LOCATION and ORGANIZATION). This folder also contains a file of the unmarked contexts that were identified, as well as their corresponding lexical-syntactic patterns formalized as Regular Expressions.

Proyecto: //
DOI: https://doi.org/10.34810/data260
CORA.Repositori de Dades de Recerca
doi:10.34810/data260
HANDLE: https://doi.org/10.34810/data260
CORA.Repositori de Dades de Recerca
doi:10.34810/data260
PMID: https://doi.org/10.34810/data260
CORA.Repositori de Dades de Recerca
doi:10.34810/data260
Ver en: https://doi.org/10.34810/data260
CORA.Repositori de Dades de Recerca
doi:10.34810/data260

CORA.Repositori de Dades de Recerca
doi:10.34810/data262
Dataset. 2022

REPLICATION DATA FOR: 'DO DEEPFAKES ADEQUATELY DISPLAY EMOTIONS? A STUDY ON DEEPFAKE FACIAL EMOTION EXPRESSION'

  • García, Roberto
  • López-Gil, Juan-Miguel
  • Gil, Rosa
Recent technological advancements in Artificial Intelligence make it easy to create deepfakes, hyper-realistic videos in which images and video clips are processed to create fake videos that appear authentic. Many of them are based on swapping faces without the consent of the person whose appearance and voice are used. As emotions are inherent in human communication, studying how deepfakes transfer emotional expressions from original to fakes is relevant. In this work, we conduct an in-depth study on facial emotional expression in deepfakes using a well-known face swap-based deepfake database. First, we extracted the photograms from their videos. Then, we analyzed the emotional expression in both the original and the faked versions of the video recordings for all performers in the database. Results show that emotional expressions are not adequately transferred between original recordings and the deepfakes created from them. The high variability in emotions and performers detected between original and fake recordings indicates that performer emotion expressiveness should be considered for better deepfake generation or for detecting them.

Proyecto: //
DOI: https://doi.org/10.34810/data262
CORA.Repositori de Dades de Recerca
doi:10.34810/data262
HANDLE: https://doi.org/10.34810/data262
CORA.Repositori de Dades de Recerca
doi:10.34810/data262
PMID: https://doi.org/10.34810/data262
CORA.Repositori de Dades de Recerca
doi:10.34810/data262
Ver en: https://doi.org/10.34810/data262
CORA.Repositori de Dades de Recerca
doi:10.34810/data262

CORA.Repositori de Dades de Recerca
doi:10.34810/data263
Dataset. 2012

GRAF VERSION OF SPANISH PORTIONS OF WIKIPEDIA CORPUS

  • Universitat Politècnica de Catalunya. Research Group on Natural Language Processing
  • Gemma Boleda
  • Universitat Pompeu Fabra. Institut Universitari de Lingüística Aplicada (IULA)
This is the stand-off GrAF version of Spanish portions of the Wikipedia (based on a 2006 dump). This Wikipedia Spanish Corpus contains 257019 articles that contain about 150,1 million words in raw text format. It has been cleaned by erasing disambiguation pages, removing some XML tags and homogenizing lists ending tag. Then, the corpus has been processed for adding structural tagging (head, paragraph, sentence, list, etc.) and morphosyntactic information.

Proyecto: //
DOI: https://doi.org/10.34810/data263
CORA.Repositori de Dades de Recerca
doi:10.34810/data263
HANDLE: https://doi.org/10.34810/data263
CORA.Repositori de Dades de Recerca
doi:10.34810/data263
PMID: https://doi.org/10.34810/data263
CORA.Repositori de Dades de Recerca
doi:10.34810/data263
Ver en: https://doi.org/10.34810/data263
CORA.Repositori de Dades de Recerca
doi:10.34810/data263

CORA.Repositori de Dades de Recerca
doi:10.34810/data264
Dataset. 2012

IULA SPANISH LSP TREEBANK

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

Proyecto: //
DOI: https://doi.org/10.34810/data264
CORA.Repositori de Dades de Recerca
doi:10.34810/data264
HANDLE: https://doi.org/10.34810/data264
CORA.Repositori de Dades de Recerca
doi:10.34810/data264
PMID: https://doi.org/10.34810/data264
CORA.Repositori de Dades de Recerca
doi:10.34810/data264
Ver en: https://doi.org/10.34810/data264
CORA.Repositori de Dades de Recerca
doi:10.34810/data264

CORA.Repositori de Dades de Recerca
doi:10.34810/data265
Dataset. 2012

IULA PENN TREEBANK

  • Universitat Pompeu Fabra. Institut Universitari de Lingüística Aplicada (IULA)
This treebank consists of a number of Spanish and English sentences that has been manually annotated with syntactical information. The sentences have been choosed from the Penn TreeBank corpus, a resource containing texts from Wall Street Journal and originally compiled by the University of Pennsylvania./nIt contains 805 sentences that have been human translated to Spanish. The original English and the translated Spanish sentences share the same identification number. Sentences in both languages have been processed using the DELPH-IN environment (http://www.delph-in.net/).

Proyecto: //
DOI: https://doi.org/10.34810/data265
CORA.Repositori de Dades de Recerca
doi:10.34810/data265
HANDLE: https://doi.org/10.34810/data265
CORA.Repositori de Dades de Recerca
doi:10.34810/data265
PMID: https://doi.org/10.34810/data265
CORA.Repositori de Dades de Recerca
doi:10.34810/data265
Ver en: https://doi.org/10.34810/data265
CORA.Repositori de Dades de Recerca
doi:10.34810/data265

CORA.Repositori de Dades de Recerca
doi:10.34810/data266
Dataset. 2012

GRAF VERSION OF CATALAN PORTIONS OF WIKIPEDIA CORPUS

  • Universitat Politècnica de Catalunya. Research Group on Natural Language Processing
  • Gemma Boleda
  • Universitat Pompeu Fabra. Institut Universitari de Lingüística Aplicada (IULA)
This is the stand-off GrAF version of Catalan portions of the Wikipedia (based on a 2006 dump). This Wikipedia Catalan Corpus contains 122052 articles that contain about 47,3 million words in raw text format. It has been cleaned by erasing disambiguation pages, removing some XML tags and homogenizing lists ending tag. Then, the corpus has been processed for adding structural tagging (head, paragraph, sentence, list, etc.) and morphosyntactic information.

Proyecto: //
DOI: https://doi.org/10.34810/data266
CORA.Repositori de Dades de Recerca
doi:10.34810/data266
HANDLE: https://doi.org/10.34810/data266
CORA.Repositori de Dades de Recerca
doi:10.34810/data266
PMID: https://doi.org/10.34810/data266
CORA.Repositori de Dades de Recerca
doi:10.34810/data266
Ver en: https://doi.org/10.34810/data266
CORA.Repositori de Dades de Recerca
doi:10.34810/data266

CORA.Repositori de Dades de Recerca
doi:10.34810/data267
Dataset. 2012

CLUVI PARALLEL CORPUS

  • Universidade de Vigo. Grupo de investigación TALG
-

Proyecto: //
DOI: https://doi.org/10.34810/data267
CORA.Repositori de Dades de Recerca
doi:10.34810/data267
HANDLE: https://doi.org/10.34810/data267
CORA.Repositori de Dades de Recerca
doi:10.34810/data267
PMID: https://doi.org/10.34810/data267
CORA.Repositori de Dades de Recerca
doi:10.34810/data267
Ver en: https://doi.org/10.34810/data267
CORA.Repositori de Dades de Recerca
doi:10.34810/data267

CORA.Repositori de Dades de Recerca
doi:10.34810/data268
Dataset. 2012

IULA SPANISH-ENGLISH TECHNICAL CORPUS

  • Universitat Pompeu Fabra. Institut Universitari de Lingüística Aplicada (IULA)
The corpus consists of a number of specialized texts (Law, Economics, Medicine, Environment and Computer Science domains) available in both Spanish and English languages. This LSP corpus has been compiled with articles from specialized Publications, PhD theses, etc./nIt contains about a total of about 2,1 M words in 127 documents in each language.

Proyecto: //
DOI: https://doi.org/10.34810/data268
CORA.Repositori de Dades de Recerca
doi:10.34810/data268
HANDLE: https://doi.org/10.34810/data268
CORA.Repositori de Dades de Recerca
doi:10.34810/data268
PMID: https://doi.org/10.34810/data268
CORA.Repositori de Dades de Recerca
doi:10.34810/data268
Ver en: https://doi.org/10.34810/data268
CORA.Repositori de Dades de Recerca
doi:10.34810/data268

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