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Browsing Congressos (Departament de Traducció i Ciències del Llenguatge) by Author "Westera, Matthijs"

Browsing Congressos (Departament de Traducció i Ciències del Llenguatge) by Author "Westera, Matthijs"

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  • 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 ...
  • Westera, Matthijs; Rohde, Hannah (Institute for Logic, Language and Computation (ILLC), 2019)
    We introduce a novel, scalable method aimed at annotating potential and actual Questions Under Discussion (QUDs) in naturalistic discourse. It consists of asking naive participants first what questions a certain portion ...
  • 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 ...
  • 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 ...
  • Westera, Matthijs (Institute for Logic, Language and Computation (ILLC), 2017)
    Exhaustivity is typically explained in terms of the exclusion of unmentioned alternatives. For this to work, the set of alternatives must be asymmetrical, lest both a proposition and its negation get excluded, yielding a ...
  • Westera, Matthijs; Amidei, Jacopo; Mayol, Laia (ACL (Association for Computational Linguistics), 2020)
    We take a close look at a recent dataset of TED-talks annotated with the questions they implicitly evoke, TED-Q (Westera et al., 2020). We test to what extent the relation between a discourse and the questions it evokes ...
  • Westera, Matthijs; Mayol, Laia; Rohde, Hannah (ACL (Association for Computational Linguistics), 2020)
    We present a new dataset of TED-talks annotated with the questions they evoke and, where available, the answers to these questions. Evoked questions represent a hitherto mostly unexplored type of linguistic data, which ...
  • Boleda, Gemma; Aina, Laura; Silberer, Carina; Sorodoc, Ionut-Teodor; Westera, Matthijs (ACL (Association for Computational Linguistics), 2019)
    Humans use language to refer to entities in the external world. Motivated by this, in recent years several models that incorporate a bias towards learning entity representations have been proposed. Such entity-centric ...

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