Listar OpenAIRE por título

Mostrando ítems 303-322 de 332

    • Theoretical Framework for the Definition of Locally-Embedded Future Policy Scenarios 

      Dumitru, Adina; Lema-Blanco, Isabel (SMARTEES project, 2019-10)
      [Abstract] This document presents the common conceptual framework for the development of locally embedded policy scenarios in the SMARTEES case studies. The conceptual framework will inform the methodology for the co-creation ...

    • Total Value Adjustment for European Options in a Multi‐Currency Setting 

      Arregui, Íñigo; Simonella, Roberta; Vázquez, Carlos (Elsevier, 2022)
      [Abstract] In this article we mainly extend to a multi-currency setting some previous works in the literature concerning total value adjustments in a single currency framework. The motivation comes from the fact that ...

    • Towards a Digital Twin of the Earth System: Geo-Soft-CoRe, a Geoscientific Software & Code Repository 

      DeFelipe, Irene; Alcalde, Juan; Baykiev, Eldar; Bernal, Isabel; Boonma, Kittiphon; Carbonell, Ramón; Flude, Stephanie; Folch, Arnau; Fullea, Javier; García-Castellanos, Daniel; Geyer, Adelina; Giralt, Santiago; Hernández, Armand; Jiménez-Munt, Ivone; Kumar, Ajay; Llorens, María-Gema; Martí, Joan; Molina, Cecilia; Olivar-Castaño, Andrés; Parnell, Andrew; Schimmel, Martin; Torné, Montserrat; Ventosa, Sergi (Frontiers, 2022-04-26)
      [Abstract] The immense advances in computer power achieved in the last decades have had a significant impact in Earth science, providing valuable research outputs that allow the simulation of complex natural processes and ...

    • Towards fast natural language parsing: FASTPARSE ERC Starting Grant 

      Gómez-Rodríguez, Carlos (Sociedad Española para el Procesamiento del Lenguaje Natural (SEPLN), 2017-09)
      [Abstract:] The goal of the FASTPARSE project (Fast Natural Language Parsing for Large-Scale NLP), funded by the European Research Council (ERC), is to achieve a breakthrough in the speed of natural language syntactic ...

    • Towards Making a Dependency Parser See 

      Strzyz, Michalina; Vilares, David; Gómez-Rodríguez, Carlos (Association for Computational Linguistics, 2019-11)
      [Absctract]: We explore whether it is possible to leverage eye-tracking data in an RNN dependency parser (for English) when such information is only available during training - i.e. no aggregated or token-level gaze features ...

    • Towards Robust Word Embeddings for Noisy Texts 

      Doval, Yerai; Vilares, Jesús; Gómez-Rodríguez, Carlos (MDPI, 2020)
      [Abstract] Research on word embeddings has mainly focused on improving their performance on standard corpora, disregarding the difficulties posed by noisy texts in the form of tweets and other types of non-standard writing ...

    • TRANSIT WP3 Deliverable D3.2. A First Prototype of TSI Theory 

      Dumitru, Adina; Haxeltine, Alex; Avelino, Flor; Wittmayer, Julia; Lema-Blanco, Isabel; Kemp, René; Pel, Bonno; Chilvers, Jason; Dorland, Jens; Hargreaves, Tom; Longhurst, Noel; Seyfang, Gill; Smith, Adrian; Jørgensen, Michael Søgaard; Weaver, Paul (TRANSIT: EU SSH.2013.3.2-1, 2015-04-30)
      [Abstract] The purpose of this deliverable (D3.2) of the TRANSIT research project is to report on the development of a ‘first prototype’ of a middle-range theory of transformative social innovation. The ‘prototype’ is ...

    • Transition-based Semantic Dependency Parsing with Pointer Networks 

      Fernández-González, Daniel; Gómez-Rodríguez, Carlos (Association for Computational Linguistics (ACL), 2020-07)
      [Abstract]: Transition-based parsers implemented with Pointer Networks have become the new state of the art in dependency parsing, excelling in producing labelled syntactic trees and outperforming graph-based models in ...

    • Transition-based semantic role labeling with pointer networks 

      Fernández-González, Daniel (Elsevier, 2023-01-25)
      [Abstract] Semantic role labeling (SRL) focuses on recognizing the predicate–argument structure of a sentence and plays a critical role in many natural language processing tasks such as machine translation and question ...

    • Transitioning Collaborative Cross-Sector Business Models for Sustainability Innovation: Multilevel Tension Management as a Dynamic Capability 

      Rey-García, Marta; Mato-Santiso, Vanessa; Felgueiras, Ana (Sage, 2020)
      [Abstract] Collaborative cross-sector business models for sustainability innovation (CCSBMSI) in response to grand challenges are rich foci for tensions. This is the case of CCSBMSI targeting independent living through ...

    • Transnational social mobility strategies and quality of work among latin-american women sex workers in Spain 

      Oso, Laura (Universities of Surrey and Stirling, Sage Publications Ltd. and the British Sociological Association, 2016-11-30)
      [Abstract] The aim of this article is to analyse the quality of work of two of the main types of female sex work in Spain (clubs and in-call flats). In order to do so I will focus on the following working dimensions: wages, ...

    • Tratamiento sintáctico de la negación en análisis del sentimiento monolingüe y multilingüe 

      Vilares, David; Alonso, Miguel A.; Gómez-Rodríguez, Carlos (2017-09-19)
      [Abstract] Dealing with negation in a proper way is a relevant factor in order to obtain high performance sentiment analysis systems. In this framework, we present a method for the treatment of negation in Spanish that ...

    • TSI-Narratives: Time Banking 

      Dumitru, Adina; Lema-Blanco, Isabel; García-Mira, Ricardo; Weaver, Paul (TRANSIT: EU SSH.2013.3.2-1, 2015-03-31)
      [Abstract] This report provides a very short summary of a full case-study report that includes indepth case-studies of Timebanking. Both, the full case reports and this summary, were guided by four empirical research ...

    • Uncovering the Cyanobacterial Chemical Diversity: The Search for Novel Anticancer Compounds 

      Ferreira, Leonor; Sousa, Maria Lígia; Ribeiro, Tiago; Morais, João; Forero, Abel M.; Branco, Raquel Castelo; Leão, Pedro N.; Preto, Marco Aurélio Correia; Urbatzka, Ralph; Szemerédi, Nikoletta; Spengler, Gabriella; Jiménez, Carlos; Rodríguez, Jaime; Vasconcelos, Vitor; Reis, Mariana (MDPI, 2022-09-15)
      [Abstract] Cancer has a tremendous negative socio-economic impact on our society. Thus, the discovery of new and more effective anticancer drugs is of utmost importance. To address this societal challenge, the main goal ...

    • Universal indexes for highly repetitive document collections 

      Claude, Francisco; Fariña, Antonio; Martínez Prieto, Miguel A.; Navarro, Gonzalo (Elsevier Ltd, 2016-11)
      [Abstract] Indexing highly repetitive collections has become a relevant problem with the emergence of large repositories of versioned documents, among other applications. These collections may reach huge sizes, but are ...

    • Unveiling factors influencing judgment variation in sentiment analysis with natural language processing and statistics 

      Kellert, Olga; Gómez-Rodríguez, Carlos; Zaman, Mahmud Uz (Public Library of Science, 2024-05)
      [Abstract]: TripAdvisor reviews and comparable data sources play an important role in many tasks in Natural Language Processing (NLP), providing a data basis for the identification and classification of subjective judgments, ...

    • Use of a numerical weather prediction model as a meteorological source for building thermal simulations 

      López Gómez, Javier; Troncoso Pastoriza, Francisco; Arce Fariña, Elena; Eguía, Pablo; Granada, Enrique (Elsevier, 2020-07-15)
      [Abstract]: Thermal simulations are a commonly used tool for energy efficiency analysis of buildings. Regional meteorological station networks are a prime source of weather data inputs, required for building thermal ...

    • Uso de redes neuronal convolucionales 1D en espectrometrías para clasificación de géneros de microalgas 

      González Hernández, José; Guzmán Sánchez, José Luis; Acién, Gabriel; Ciardi, Martina; Moreno Úbeda, José Carlos (Universidade da Coruña. Servizo de Publicacións, 2023)
      [Resumen] En este trabajo se presenta el desarrollo de una red neuronal para la clasificación de especies de microalgas basada en muestras espectrales. Los datos necesarios para realizar la clasificación son obtenidos ...

    • VENOM: A Vectorized N:M Format for Unleashing the Power of Sparse Tensor Cores 

      López Castro, Roberto; Ivanov, Andrei; Andrade, Diego; Ben-Nun, Tal; Fraguela, Basilio B.; Hoefler, Torsten (Association for Computing Machinery, 2023-11)
      [Abstract]: The increasing success and scaling of Deep Learning models demands higher computational efficiency and power. Sparsification can lead to both smaller models as well as higher compute efficiency, and accelerated ...

    • Viable Dependency Parsing as Sequence Labeling 

      Strzyz, Michalina; Vilares, David; Gómez-Rodríguez, Carlos (Association for Computational Linguistics (ACL), 2019-06)
      [Abstract]: We recast dependency parsing as a sequence labeling problem, exploring several encodings of dependency trees as labels. While dependency parsing by means of sequence labeling had been attempted in existing work, ...