Resultados totales (Incluyendo duplicados): 28
Encontrada(s) 3 página(s)
Encontrada(s) 3 página(s)
CORA.Repositori de Dades de Recerca
doi:10.34810/data363
Dataset. 2023
PANACEA ENGLISH AUTOMATICALLY ACQUIRED LEXICON FOR ENV DOMAIN: SUBCATEGORIZATION FRAMES (V-SUBCAT)
- University of Cambridge. Department of Theoretical and Applied Linguistics
-
Proyecto: //
CORA.Repositori de Dades de Recerca
doi:10.34810/data364
Dataset. 2023
PANACEA ENGLISH AUTOMATICALLY ACQUIRED LEXICON FOR LAB DOMAIN: SUBCATEGORIZATION FRAMES (V-SUBCAT)
- University of Cambridge. Department of Theoretical and Applied Linguistics
This lexicon was produced using an inductive SCF classifier, the tpc_subcat_inductive webservice in the PANACEA project. The lexicon was automatically produced from the PANACEA MCv2 crawled corpus, by parsing the data with the RASP parser (Third Release, Open-Source Version, February 2001, available from http://ilexir.co.uk; see also E. Briscoe, J. Carroll, and R. Watson, 2006, The Second Release of the RASP System, in Proceedings of COLING/ACL Interactive Presentation Sessions), and then processing the parsed data with tpc_subcat_inductive. Only verb lemmas with at least 200 instances in MCv2 were retained.
Proyecto: //
CORA.Repositori de Dades de Recerca
doi:10.34810/data370
Dataset. 2011
PANACEA ENGLISH V-SUBCAT GOLD-STANDARD FOR LAB DOMAIN
- University of Cambridge. Department of Theoretical and Applied Linguistics
This is a domain-specific gold-standard for English subcategorization frames, in the case, for labour (LAB) domain. This gold-standard was manually developed, choosing a set of 29 verbs and 200 senteces for each verb. For each sentence, the SCFs present for the studied verb were manually annotated. The sentences were selected from crawled Web pages that were automatically detected to be in the English language and were automatically classified as relevant to the LAB domain. Data collection took place in the summer of 2011. This gold-standard was created in the context of PANACEA http://www.panacea-lr.eu), an EU-FP7 Funded Project under Grant Agreement 248064.
Proyecto: //
CORA.Repositori de Dades de Recerca
doi:10.34810/data371
Dataset. 2023
PANACEA ENGLISH V-SUBCAT GOLD-STANDARD FOR ENV DOMAIN
- University of Cambridge. Department of Theoretical and Applied Linguistics
This is a domain-specific gold-standard for English subcategorization frames, in the case, for environment (ENV) domain. This gold-standard was manually developed, choosing a set of 28 verbs and 200 senteces for each verb. For each sentence, the SCFs present for the studied verb were manually annotated. The sentences were selected from crawled Web pages that were automatically detected to be in the English language and were automatically classified as relevant to the ENV domain. Data collection took place in the summer of 2011. This gold-standard was created in the context of PANACEA http://www.panacea-lr.eu), an EU-FP7 Funded Project under Grant Agreement 248064.
Proyecto: //
CORA.Repositori de Dades de Recerca
doi:10.34810/data375
Dataset. 2013
PANACEA ENGLISH AUTOMATICALLY ACQUIRED LEXICON FOR ENV DOMAIN: SUBCATEGORIZATION FRAMES AND LEXICAL SEMANTIC CLASSES FOR NOUNS
- University of Cambridge. Department of Theoretical and Applied Linguistics
- Universitat Pompeu Fabra. Institut Universitari de Lingüística Aplicada (IULA)
This is a domain-specific lexicon for English for environment (ENV) domain. This lexicon contain both, subcategorization frames for verbs and lexical semantic classes for nouns. This lexicon has been automatically created using PANACEA webservices using crawled data. The crawled data was obtained crawling web pages that were automatically detected to be in the English language and were automatically classified as relevant to the ENV domain. Data collection took place in the summer of 2011.
Proyecto: //
CORA.Repositori de Dades de Recerca
doi:10.34810/data378
Dataset. 2013
PANACEA ENGLISH AUTOMATICALLY ACQUIRED LEXICON FOR LAB DOMAIN: SUBCATEGORIZATION FRAMES AND LEXICAL SEMANTIC CLASSES FOR NOUNS
- University of Cambridge. Department of Theoretical and Applied Linguistics
- Universitat Pompeu Fabra. Institut Universitari de Lingüística Aplicada (IULA)
This is a domain-specific lexicon for English for labour (LAB) domain. This lexicon contain both, subcategorization frames for verbs and lexical semantic classes for nouns. This lexicon has been automatically created using PANACEA webservices using crawled data. The crawled data was obtained crawling web pages that were automatically detected to be in the English language and were automatically classified as relevant to the LAB domain. Data collection took place in the summer of 2011.
Proyecto: //
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285773
Dataset. 2022
DATA FROM PATI CIENTIFIC 2022-04-27 TD-5
- Carrasco, Oriol
- Bardají, Raúl
- Vallès Casanova, Ignasi Berenguer
- Pelegrí, Josep Lluís
- Hoareau, Nina
- Salvador, Joaquín
- Simon, Carine
- Rodero García, Carlos
- Piera, Jaume
- Ortigosa Barragán, Inma
- Mateu, Jordi
- Castells-Sanabra, Marcel·la
- Barberan, Victor
- González Fernández, Óscar
- Puigdefàbregas, Joan
- Yannoukakou, Iphygenia
- Carretero, Igor
- Verger, Elisabet
Sea temperature vs depth measured by the Pati Cientific at Somorrostro, Barcelona, on 2022-04-27., BIT Habitat, Barcelona Science Plan 2019, MONOCLE and EMSO - Laboratorios Submarinos Profundo, Peer reviewed
Proyecto: //
DOI: http://hdl.handle.net/10261/285773
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285773
HANDLE: http://hdl.handle.net/10261/285773
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285773
PMID: http://hdl.handle.net/10261/285773
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285773
Ver en: http://hdl.handle.net/10261/285773
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285773
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285779
Dataset. 2022
DATA FROM PATI CIENTIFIC 2022-03-10 TD-3
- Carrasco, Oriol
- Bardají, Raúl
- Vallès Casanova, Ignasi Berenguer
- Pelegrí, Josep Lluís
- Hoareau, Nina
- Salvador, Joaquín
- Simon, Carine
- Rodero García, Carlos
- Piera, Jaume
- Ortigosa Barragán, Inma
- Mateu, Jordi
- Castells-Sanabra, Marcel·la
- Barberan, Victor
- González Fernández, Óscar
- Puigdefàbregas, Joan
- Yannoukakou, Iphygenia
- Carretero, Igor
- Verger, Elisabet
Sea temperature vs depth measured by the Pati Cientific at Somorrostro, Barcelona, on 2022-03-10., BIT Habitat, Barcelona Science Plan 2019, MONOCLE and EMSO - Laboratorios Submarinos Profundo, Peer reviewed
Proyecto: //
DOI: http://hdl.handle.net/10261/285779
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285779
HANDLE: http://hdl.handle.net/10261/285779
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285779
PMID: http://hdl.handle.net/10261/285779
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285779
Ver en: http://hdl.handle.net/10261/285779
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285779
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285816
Dataset. 2022
DATA FROM PATI CIENTIFIC 2022-05-23 TD-3
- Carrasco, Oriol
- Bardají, Raúl
- Vallès Casanova, Ignasi Berenguer
- Pelegrí, Josep Lluís
- Hoareau, Nina
- Salvador, Joaquín
- Simon, Carine
- Rodero García, Carlos
- Piera, Jaume
- Ortigosa Barragán, Inma
- Mateu, Jordi
- Castells-Sanabra, Marcel·la
- Barberan, Victor
- González Fernández, Óscar
- Puigdefàbregas, Joan
- Yannoukakou, Iphygenia
- Carretero, Igor
- Verger, Elisabet
Sea temperature vs depth measured by the Pati Cientific at Somorrostro, Barcelona, on 2022-05-23., BIT Habitat, Barcelona Science Plan 2019, MONOCLE and EMSO - Laboratorios Submarinos Profundo, Peer reviewed
Proyecto: //
DOI: http://hdl.handle.net/10261/285816
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285816
HANDLE: http://hdl.handle.net/10261/285816
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285816
PMID: http://hdl.handle.net/10261/285816
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285816
Ver en: http://hdl.handle.net/10261/285816
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285816
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285821
Dataset. 2022
DATA FROM PATI CIENTIFIC 2022-04-19 TD-5
- Carrasco, Oriol
- Bardají, Raúl
- Vallès Casanova, Ignasi Berenguer
- Pelegrí, Josep Lluís
- Hoareau, Nina
- Salvador, Joaquín
- Simon, Carine
- Rodero García, Carlos
- Piera, Jaume
- Ortigosa Barragán, Inma
- Mateu, Jordi
- Castells-Sanabra, Marcel·la
- Barberan, Victor
- González Fernández, Óscar
- Puigdefàbregas, Joan
- Yannoukakou, Iphygenia
- Carretero, Igor
- Verger, Elisabet
Sea temperature vs depth measured by the Pati Cientific at Somorrostro, Barcelona, on 2022-04-19., Peer reviewed
Proyecto: //
DOI: http://hdl.handle.net/10261/285821
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285821
HANDLE: http://hdl.handle.net/10261/285821
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285821
PMID: http://hdl.handle.net/10261/285821
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285821
Ver en: http://hdl.handle.net/10261/285821
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285821
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