Benvinguts al Repositori Digital de la UPF

Visualitza Recerca: articles, congressos, llibres per matèria "Natural Language Processing"

Visualitza Recerca: articles, congressos, llibres per matèria "Natural Language Processing"

Ordena per: Ordre: Resultats:

  • Morales del Castillo, José Manuel, 1974-; Pedraza, Rafael; Ruiz Rodríguez, Antonio Ángel; Peis, Eduardo; Herrera-Viedma, Enrique (ALA American Library Association, 2010)
    In this paper we present the theoretical and methodological/nfoundations for the development of a multi-agent/nSelective Dissemination of Information (SDI) service/nmodel that applies Semantic Web technologies for ...
  • Boleda Torrent, Gemma; Pham, Nghia The; Kruszewski, German (ACL (Association for Computational Linguistics), 2016)
    Convolutional Neural Networks (CNNs) have shown to yield very strong results in several Computer Vision tasks. Their application to language has received much less attention, and it has mainly focused on static classification ...
  • Boleda Torrent, Gemma; Bernardi, Raffaella; Fernandez, Raquel; Paperno, Denis (ACL (Association for Computational Linguistics), 2015)
    In this position paper we argue that an adequate semantic model must account for language in use, taking into account how discourse context affects the meaning of words and larger linguistic units. Distributional semantic ...
  • Boleda Torrent, Gemma; Gupta, Abhijeet; Baroni, Marco; Padó, Sebastian (ACL (Association for Computational Linguistics), 2015)
    Distributional methods have proven to excel at capturing fuzzy, graded aspects of meaning (Italy is more similar to Spain than to Germany). In contrast, it is difficult to extract the values of more specific attributes of ...
  • Boleda Torrent, Gemma; Padó, Sebastian; Pham, Nghia The; Baroni, Marco (2017)
    Reference is the crucial property of language that allows us to connect linguistic expressions to the world. Modeling it requires handling both continuous and discrete aspects of meaning. Data-driven models excel at the ...
  • Boleda Torrent, Gemma; Sorodoc, Ionut; Lazaridou, Angeliki; Herbelot, Aurėlie; Pezzelle, Sandro; Bernardi, Raffaella (ACL (Association for Computational Linguistics), 2016)
    In this paper, we investigate whether a neural network model can learn the meaning of natural language quantifiers (no,some and all) from their use in visual contexts. We show that memory networks perform well in this ...
  • Boleda Torrent, Gemma; Baroni, Marco; Padó, Sebastian (2017)
    One of the most basic functions of language is to refer to objects in a shared scene. Modeling reference with continuous representations is challenging because it requires individuation, i.e., tracking and distinguishing ...
  • Boleda Torrent, Gemma; Paperno, Denis; Kruszewski, German; Lazaridou, Angeliki; Pham, Quan Ngoc; Bernardi, Raffaella; Pezzelle, Sandro; Baroni, Marco; Fernandez, Raquel (ACL (Association for Computational Linguistics), 2016)
    We introduce LAMBADA, a dataset to evaluate the capabilities of computational models for text understanding by means of a word prediction task. LAMBADA is a collection of narrative passages sharing the characteristic that ...