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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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  • 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 ...
  • Dasca, Maria, 1977- (Université Paris-Sorbonne. Centre d'Études Catalanes, 2011)
    Difficilement repérables dans certaines expressions de la littérature catalane contemporaine, les formes simples (einfache Formen, selon André Jolles) sont à l’origine de certaines créations humoristiques ou didactiques ...
  • van Maastricht, Lieke; Krahmer, Emiel; Swerts, Marc; Prieto Vives, Pilar, 1965- (International Speech Communication Association, 2016)
    This study investigates the acquisition of second language (L2) rhythm by speakers of Dutch and Spanish, two languages that traditionally are considered to be rhythmically different. Specifically, it investigates whether ...
  • Cassany, Daniel (Ministerio de Educación y Ciencia; Instituto Cervantes, 2004)
  • Ritter, Samuel; Long, Cotie; Paperno, Denis; Baroni, Marco; Botvinick, Matthew; Goldberg, Adele (ACL (Association for Computational Linguistics), 2015)
    Complex interactions among the meanings of words are important factors in the function that maps word meanings to phrase meanings. Recently, compositional distributional semantics models (CDSM) have been designed with the ...
  • Marimon, Montserrat; Bel Rafecas, Núria (ACL (Association for Computational Linguistics), 2004)
    We report on the development and employment of lexical entry templates in a large–coverage unification–based grammar of Spanish. The aim of the work reported in this paper is to provide robust deep linguistic processing ...
  • Francopoulo, Gil; Bel Rafecas, Núria; George, Monte; Calzolari, Nicoletta; Monachini, Monica; Pet, Mandy; Soria, Claudia (ACL (Association for Computational Linguistics), 2006)
    Optimizing the production, maintenance and extension of lexical resources is one the crucial aspects impacting Natural Language Processing (NLP). A second aspect involves optimizing the process leading to their integration ...
  • Serbina, Tatiana; Bisiada, Mario; Neumann, Stella (ACL (Association for Computational Linguistics), 2021)
    A range of studies have pointed to the importance of considering the influence of editors in studies of translated language. Those studies have concentrated on particular features, which allowed them to study those features ...
  • Boleda, Gemma; Padó, Sebastian; Pham, Nghia The; Baroni, Marco (ACL (Association for Computational Linguistics), 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, Gemma; Sorodoc, Ionut-Teodor; Lazaridou, Angeliki; Herbelot, Aurélie; 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 ...
  • Costa Carreras, Joan (ÉLiPhi Editions de Linguistique et de Philologie, 2018)
  • Sutton, Peter R.; Filip, Hana; Snider, Todd; Windhearn, Mia (University of Konstanz, 2021)
    We present an analysis of measure phrases such as heap/ounce of information in which the measure expression receives a non-literal, metaphorical interpretation. We present evidence that these metaphorical measure ...
  • Cassany, Daniel (Universidad del País Vasco, 2008)
  • Bel Rafecas, Núria; Papavassiliou, Vassilis; Prokopidis, Prokopis; Toral, Antonio; Arranz, Victoria (ELRA (European Language Resources Association), 2012)
    The objective of the PANACEA ICT-2007.2.2 EU project is to build a platform that automates the stages involved in the acquisition,production, updating and maintenance of the large language resources required by, among ...
  • Menéndez Benito, Paula; Alonso-Ovalle, Luís (University of Massachusetts at Amherst, Graduate Linguistics Student Association (GLSA), 2016)
    Modal indefinites are existential determiners that trigger modal inferences. Some of them, which we can call ‘random choice indefinites’, indicate that an agent made an indiscriminate choice (Choi 2007, Choi & Romero 2008, ...
  • Aina, Laura; Brochhagen, Thomas; Boleda, Gemma (Cognitive Science Society, 2020)
    How a word is interpreted depends on the context it appears in. We study word interpretation leveraging deep language models, tracing the contribution and interaction of two sources of information that have been shown to ...
  • Silberer, Carina; Ferrari, Vittorio; Lapata, Mirella (ACL (Association for Computational Linguistics), 2013)
    We consider the problem of grounding the meaning of words in the physical world and focus on the visual modality which we represent by visual attributes. We create a new large-scale taxonomy of visual attributes covering ...
  • Lazaridou, Angeliki; Chrupała, Grzegorz; Fernández, Raquel; Baroni, Marco (ACL (Association for Computational Linguistics), 2016)
    Children learn the meaning of words by being exposed to perceptually rich situations (linguistic discourse, visual scenes, etc). Current computational learning models typically simulate these rich situations through ...

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