Browsing by Author "Boleda, Gemma"

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  • 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, ...
  • Aina, Laura (Universitat Pompeu Fabra, 2022-05-09)
    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 ...
  • 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 ...
  • 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. ...
  • Boleda, Gemma; Cuadros Oller, Montse; España Bonet, Cristina; Padró, Lluís; Melero i Nogués, Maite; Quixal Martínez, 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 ...
  • 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). ...
  • 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 ...
  • 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 ...
  • 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 ...
  • 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; Badia i Cardús, Antoni; Qixal, Martí (Quark, 2001-01-12)
  • 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 ...
  • 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 ...
  • 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 ...
  • 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 ...
  • 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 ...
  • 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 ...
  • 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 ...
  • 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 ...

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