Listar Grupo: SISDIAL. Sistemas de Diálogo Hablado y Multimodal (TIC018) por financiación

Mostrando ítems 1-20 de 21

      Financiación
      COST Action IC1303 AAPELE [1]
      DEP2015-70980-R of the Spanish Ministry of Economy and Competitiveness (MINECO) and European Regional Development Fund (ERDF) [1]
      European Union’s Horizon 2020 research and innovation programme under grant agreement No 823907 [1]
      European Union’s Horizon 2020 research and innovation programme under grant agreement No 823907 [1]
      info:eu-repo/grantAgreement/EC/H2020/823907 CAVIAR project (MINECO, TEC2017-84593-C2-1-R, AEI/FEDER, UE) [1]
      The NESTORE, SAAM, CAPTAIN, HOLOBALANCE, EMPATHIC, MENHIR, vCare projects are supported by the European Commission under the Horizon 2020 programmes SC1-PM-15-2017 H2020-MSCA-RISE-2018, and H2020-1.3.3, respectively through the project grants N.769643, 769661, 769830, 769574, 769872, 823907, 769807. The authors want to thank their respective Consortia. The opinions expressed in this paper are those of the authors and are not necessarily those of the project partners or the European Commission. [1]
      The projects in #CS_AIW have received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement no.: ASCAPE - Ref 875351 BD4QoL - Ref 875192 CAPABLE - Ref 875052 CLARIFY - Ref 860627 FAITH - Ref 875358 LIFECHAMPS - Ref 875329 MENHIR - Ref 823907 ONCORELIEF - Ref 875392 PERSIST - Ref 875406 QUALITOP - Ref 875171 REBECCA - Ref 65231 [1]
      The research leading to these results has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 823907 (MENHIR project: https://menhir-project.eu), and the Spanish project TEC2017-88048-C2-2-R. [1]
      The research leading to these results has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement no. 823907 (MENHIR project: https://menhir-project.eu) and the GOMINOLA project supported by the Spanish Ministry of Science and Innovation (PID2020-118112RB-C21 and PID2020-118112RB-C22, funded by MCIN/AEI/10.13039/501100011033). [1]
      The research leading to these results has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 823907 (MENHIR project:https://menhir-project.eu) [1]
      This publication is part of the project “CONVERSA: Effective and efficient resources and models for transformative conversational AI in Spanish and co-official languages” (TED2021-132470B-I00) funded by MCIN/AEI/10.13039/501100011033 and by the European Union “NextGenerationEU/PRTR” [1]
      This research has received funding by the project DEP2015-70980-R of the Spanish Ministry of Economy and Competitiveness (MINECO) and European Regional Development Fund (ERDF), the European Union’s Horizon 2020 research and innovation programme under grant agreement No. 823907 (‘Mental health monitoring through interactive conversations’, MENHIR Project), as well as, received inputs from the COST Action IC1303 AAPELE [1]
      This research has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No. 823907 (MENHIR project) and from the Spanish Ministry of Economy, Industry and Competitiveness through the CAVIAR (MINECO, TEC2017-84593-C2-1-R) project. [1]
      This research has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 823907 (MENHIR project https://menhir-project.eu) and grant agreement No 769872 (EMPATHIC project http://www.empathic-project.eu). [1]
      This research has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 823907 (MENHIR project https://menhir-project.eu). [1]
      This research has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 823907 (MENHIR: Mental health monitoring through interactive conversations https://menhir-project.eu). [1]
      This work was supported by the Student Grant Scheme 2020 of the Technical University in Liberec, the European Union’s Horizon 2020 research and innovation programme under grant agreement No 823907 (MENHIR project: https://menhir-project.eu), and by the Spanish project TEC2017-84593-C2-1-R. [1]
      This work was supported in part by Projects TRA2015-63708-R and TRA2016-78886-C3-1-R. [1]
      We would like to thank the support of the Spanish Plan for the Advancement of Language Technology (https://www.plantl.gob.es/) and the Secretaría de Estado para la Digitalización e Inteligencia Artificial (SEDIA). This research has also received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 823907 (MENHIR project: https://menhir-project.eu). [1]
      Work partially supported by Projects MINECO TEC2012-37832-C02-01, CI-CYT TEC2011-28626-C02-02, CAM CONTEXTS (S2009/TIC-1485). [1]