Browsing by Author "Boleda, Gemma"

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  • A closer look at scalar diversity using contextualized semantic similarity
    Westera, Matthijs; Boleda, Gemma (University of Konstanz, 2020)
    We take a closer look at van Tiel et al.’s (2016) experimental results on diversity in scalar inference rates. In contrast to their finding that semantic similarity had no significant effect on scalar inference rates, ...
  • A deep learning perspective on linguistic ambiguity
    Aina, Laura (Universitat Pompeu Fabra, 2022-03-25)
    This thesis studies the information that an expression and its context contribute to ambiguity resolution, focusing on the syntactic, lexical, and referential levels, and on the English language. I adopt computational ...
  • Adjectives as saturators vs. modifiers: statistical evidence
    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" ...
  • AMORE-UPF at SemEval-2018 Task 4: BiLSTM with entity library
    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 ...
  • Automatic acquisition of syntactic verb classes with basic resources
    Mayol, Laia; Boleda, Gemma; Badía, Teresa (Springer, 2005)
    This paper describes a methodology aimed at grouping Catalan verbs according to their syntactic behavior. Our goal is to acquire a small number of basic classes with a high level of accuracy, using minimal resources. ...
  • El català i les tecnologies de la llengua
    Boleda, Gemma; Cuadros Oller, Montse; España Bonet, Cristina; Padró, Lluís; Melero i Nogués, Maite; Quixal, Martí; Rodríguez, Carlos (Universitat de Barcelona, 2009)
    El processament computacional de la llengua abraça qualsevol activitat relacionada amb la creació, la gestió i la utilització de tecnologia i de recursos lingüístics. En el pla científic, aquesta activitat és central en ...
  • Challenges in including extra-linguistic context in pre-trained language models
    Sorodoc, Ionut-Teodor; Aina, Laura; Boleda, Gemma (ACL (Association for Computational Linguistics), 2022)
    To successfully account for language, computational models need to take into account both the linguistic context (the content of the utterances) and the extra-linguistic context (for instance, the participants in a dialogue). ...
  • Communication breakdown: on the low mutual intelligibility between human and neural captioning
    Dessì, Roberto; Gualdoni, Eleonora; Franzon, Francesca; Boleda, Gemma; Baroni, Marco (ACL (Association for Computational Linguistics), 2022)
    We compare the 0-shot performance of a neural caption-based image retriever when given as input either human-produced captions or captions generated by a neural captioner. We conduct this comparison on the recently ...
  • Conceptual versus referential affordance in concept composition
    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 ...
  • Controlled tasks for model analysis: retrieving discrete information from sequences
    Sorodoc, Ionut-Teodor; Boleda, Gemma; Baroni, Marco (ACL (Association for Computational Linguistics), 2021)
    In recent years, the NLP community has shown increasing interest in analysing how deep learning models work. Given that large models trained on complex tasks are difficult to inspect, some of this work has focused ...
  • Convolutional neural network language models
    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 ...
  • Curso sobre Tecnologías de la lengua (segunda edición)
    Boleda, Gemma; Badia i Cardús, Antoni; Qixal, Martí (Quark, 2001-01-12)
  • Deep daxes: mutual exclusivity arises through both learning biases and pragmatic strategies in neural networks
    Gulordava, Kristina; Brochhagen, Thomas; Boleda, Gemma (Cognitive Science Society, 2020)
    Children’s tendency to associate novel words with novel referents has been taken to reflect a bias toward mutual exclusivity. This tendency may be advantageous both as (1) an ad-hoc referent selection heuristic to single ...
  • Distributed prediction of relations for entities: the Easy, the Difficult, and the impossible
    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 ...
  • Distributional models of category concepts based on names of category members
    Westera, Matthijs; Gupta, Abhijee; Boleda, Gemma; Padó, Sebastian (Wiley, 2021)
    Cognitive scientists have long used distributional semantic representations of categories. The predominant approach uses distributional representations of category-denoting nouns, such as “city” for the category city. We ...
  • Distributional semantics in use
    Boleda, Gemma; Bernardi, Raffaella; Fernández, 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 ...
  • Distributional vectors encode referential attributes
    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 ...
  • Does referent predictability affect the choice of referential form? A computational approach using masked coreference resolution
    Aina, Laura; Liao, Xixian; Boleda, Gemma; Westera, Matthijs (ACL (Association for Computational Linguistics), 2021)
    It is often posited that more predictable parts of a speaker’s meaning tend to be made less explicit, for instance using shorter, less informative words. Studying these dynamics in the domain of referring expressions has ...
  • Don’t blame distributional semantics if it can’t do entailment
    Westera, Matthijs; Boleda, Gemma (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 ...
  • Effects of task and visual context on referring expressions using natural scenes
    Mädebach, Andreas; Torubarova, Ekaterina; Gualdoni, Eleonora; Boleda, Gemma (Cognitive Science Society, 2022)
    We explore contextual adaptation of referring expressions with respect to referential ambiguity and communicative intention. We focus not only on whether people adapt, but also on how by contrasting lexical specification ...