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Browsing Congressos (Departament de Traducció i Ciències del Llenguatge) by Title

Browsing Congressos (Departament de Traducció i Ciències del Llenguatge) by Title

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  • Silberer, Carina; Lapata, Mirella (ACL (Association for Computational Linguistics), 2012)
    A popular tradition of studying semantic representation has been driven by the assumption that word meaning can be learned from the linguistic environment, despite ample evidence suggesting that language is grounded in ...
  • Silberer, Carina; Pinkal, Manfred (ACL (Association for Computational Linguistics), 2018)
    We address the task of visual semantic role labeling (vSRL), the identification of the participants of a situation or event in a visual scene, and their labeling with their semantic relations to the event or situation. We ...
  • Prieto Vives, Pilar, 1965-; Baills, Florence; Zhang, Yuan (International Speech Communication Association (ISCA), 2018)
    Previous research has shown that rhythmic training enhances phonological speech processing (e.g., [1, 2, 3, 4]). Yet little is known about whether rhythmic training can also help to improve pronunciation in a second language ...
  • Bel Rafecas, Núria (ACL (Association for Computational Linguistics), 2010)
    We propose a strategy to reduce the impact of the sparse data problem in the tasks of lexical information acquisition based on the observation of linguistic cues. It justifies that the uncertainty created by missing values, ...
  • Esteve Gibert, Núria; Borràs Comes, Joan Manel, 1984-; Swerts, Marc; Prieto Vives, Pilar, 1965- (International Speech Communication Association, 2014)
    There is an increasing consensus to regard gesture and speech as parts of an integrated communication system, in part because of the findings related to their temporal coordination at different levels. In general, results ...
  • Herbelot, Aurélie; Baroni, Marco (ACL (Association for Computational Linguistics), 2018)
    Distributional semantics models are known to struggle with small data. It is generally accepted that in order to learn ‘a good vector’ for a word, a model must have sufficient examples of its usage. This contradicts the ...
  • Alsina, Àlex (CSLI Publications, 2005)
  • Gulordava, Kristina; Aina, Laura; Boleda, Gemma (ACL (Association for Computational Linguistics), 2018)
    Recent state-of-the-art neural language models share the representations of words given by the input and output mappings. We propose a simple modification to these architectures that decouples the hidden state from the ...
  • Gulordava, Kristina; Aina, Laura; Boleda, Gemma (ACL (Association for Computational Linguistics), 2018)
    Recent state-of-the-art neural language models share the representations of words given by the input and output mappings. We propose a simple modification to these architectures that decouples the hidden state from the ...
  • Lazaridou, Angeliki; Dinu, Georgiana; Baroni, Marco (ACL (Association for Computational Linguistics), 2015)
    Zero-shot methods in language, vision and other domains rely on a cross-space mapping function that projects vectors from the relevant feature space (e.g., visualfeature-based image representations) to a large semantic ...
  • Silberer, Carina; Zarrieß, Sina; Westera, Matthijs; Boleda, Gemma (ACL (Association for Computational Linguistics), 2020)
    We release ManyNames v2 (MN v2), a verified version of an object naming dataset that contains dozens of valid names per object for 25K images. We analyze issues in the data collection method originally employed, standard ...
  • Martínez Alonso, Héctor; Sandford Pedersen, Bolette; Bel Rafecas, Núria (ACL (Association for Computational Linguistics), 2011)
    The following work describes a method to automatically classify the sense selection of the complex type Location/Organization –which depends on regular polysemy– using shallow features, as well as a way to increase the ...
  • Boleda, Gemma; Gupta, Abhijeet; Padó, Sebastian (ACL (Association for Computational Linguistics), 2017)
    Instances (“Mozart”) are ontologically distinct from concepts or classes (“composer”). Natural language encompasses both, but instances have received comparatively little attention in distributional semantics. Our results ...
  • Boleda, Gemma; Baroni, Marco; Pham, Nghia The; McNally, Louise, 1965- (ACL (Association for Computational Linguistics), 2013)
    Distributional semantics has very successfully modeled semantic phenomena at the word level, and recently interest has grown in extending it to capture the meaning of phrases via semantic composition. We present experiments ...
  • Poch, Marc; Bel Rafecas, Núria (ACL (Association for Computational Linguistics), 2011)
    This document describes some of the technological aspects of a project devoted to the creation of a factory for language resources. The project’s objectives are explained, as well as the idea to create a distributed ...
  • Arias Badia, Blanca; Bel Rafecas, Núria; Fisas Elizalde, Beatriz; Lorente, Mercè; Marimon, Montserrat; Marimon, Montserrat; Morell, Carlos; Vázquez, Silvia; Vivaldi, J. (Jorge), 1952- (ELRA (European Language Resources Association), 2014)
    This paper presents the IULA Spanish LSP Treebank, a dependency treebank of over 41,000 sentences of different domains (Law, Economy, Computing Science, Environment, and Medicine), developed in the framework of the European ...
  • Marimon, Montserrat; Fisas Elizalde, Beatriz; Bel Rafecas, Núria; Arias Badia, Blanca; Vázquez, Silvia; Vivaldi, J. (Jorge), 1952-; Villegas, Marta; Lorente Casafont, Mercè (ELRA (European Language Resources Association), 2012)
    This paper describes on-going work for the construction of a new treebank for Spanish, The IULA Treebank. This new resource will contain about 60,000 richly annotated sentences as an extension of the already existing IULA ...
  • Pham, Nghia The; Kruszewski, German; Lazaridou, Angeliki; Baroni, Marco (ACL (Association for Computational Linguistics), 2015)
    We introduce C-PHRASE, a distributional semantic model that learns word representations by optimizing context prediction for phrases at all levels in a syntactic tree, from single words to full sentences. C-PHRASE outperforms ...
  • Poch, Marc; Toral, Antonio; Bel Rafecas, Núria (ACL (Association for Computational Linguistics), 2012)
    This paper demonstrates a novel distributed architecture to facilitate the acquisition of Language Resources. We build a factory that automates the stages involved in the acquisition, production, updating and maintenance ...
  • Baroni, Marco; Kilgarriff, Adam (ACL (Association for Computational Linguistics), 2006)
    The Web contains vast amounts of linguistic data. One key issue for linguists and language technologists is how to access it. Commercial search engines give highly compromised access. An alternative is to crawl the Web ...

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