Browsing by Author "Boleda, Gemma"

Sort by: Order: Results:

  • McNally, Louise, 1965-; Boleda, Gemma; Evert, Stefan; Gehrke, Berit (Springer, 2012)
    This paper reports on a large-scale, statistical analysis of corpus data to support the null hypothesis that ethnic adjectives (EAs, e.g. French) are ordinary adjectives, rather than argument-saturating \nouns in disguise" ...
  • Boleda, Gemma; Aina, Laura; Silberer, Carina; Sorodoc, Ionut-Teodor; Westera, Matthijs (ACL (Association for Computational Linguistics), 2018)
    This paper describes our winning contribution to SemEval 2018 Task 4: Character Identification on Multiparty Dialogues. It is a simple, standard model with one key innovation, an entity library. Our results show that this ...
  • Boleda, Gemma (Universitat Pompeu Fabra, 2007-04-18)
    Aquesta tesi tracta l'adquisició automàtica de classes semàntiques per a adjectius. La tesi es basa en dues hipòtesis. La primera, que alguns aspectes de la semàntica dels adjectius no són totalment impredictibles, sinó ...
  • McNally, Louise, 1965-; Boleda, Gemma (Springer, 2017)
    One of the defining traits of language is its capacity to mediate between concepts in our mind, which encapsulate generalizations, and the things they refer to in a given communicative act, with all their idiosyncratic ...
  • Boleda, 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, Gemma; Gupta, Abhijeet; Padó, Sebastian (ACL (Association for Computational Linguistics), 2017)
    Word embeddings are supposed to provide easy access to semantic relations such as “male of” (man–woman). While this claim has been investigated for concepts, little is known about the distributional behavior of relations ...
  • Boleda, 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, 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 ...
  • Westera, Matthijs (ACL (Association for Computational Linguistics), 2019)
    Distributional semantics has had enormous empirical success in Computational Linguistics and Cognitive Science in modeling various semantic phenomena, such as semantic similarity, and distributional models are widely used ...
  • Boleda, Gemma; Vecchi, Eva Maria; Cornudella Gaya, Miquel; McNally, Louise, 1965- (ACL (Association for Computational Linguistics), 2012)
    Adjectival modification, particularly by expressions that have been treated as higher-order modifiers in the formal semantics tradition, raises interesting challenges for semantic composition in distributional semantic ...
  • Boleda, Gemma; Herbelot, Aurélie (ACL (Association for Computational Linguistics), 2016)
    Formal Semantics and Distributional Semantics are two very influential semantic frameworks in Computational Linguistics. Formal Semantics is based on a symbolic tradition and centered around the inferential properties of ...
  • 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 ...
  • 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 ...
  • 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 ...
  • Boleda, Gemma; Schulte im Walde, Sabine; Badia i Cardús, Antoni (ACL (Association for Computational Linguistics), 2012)
    We present a study on the automatic acquisition of semantic classes for Catalan adjectives from distributional and morphological information, with particular emphasis on polysemous adjectives. The aim is to distinguish ...
  • McNally, Louise, 1965-; Boleda, Gemma (Colloque de Syntaxe et Sémantique à Paris, 2004)
  • Boleda, Gemma; Baroni, Marco; Padó, Sebastian (Springer, 2018)
    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, 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 ...