Browsing by Author "Gualdoni, Eleonora"

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  • 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 ...
  • Dessì, Roberto; Bevilacqua, Michele; Gualdoni, Eleonora; Rakotonirina, Nathanael Carraz; Franzon, Francesca; Baroni, Marco (Institute of Electrical and Electronics Engineers (IEEE), 2023)
    Neural captioners are typically trained to mimic humangenerated references without optimizing for any specific communication goal, leading to problems such as the generation of vague captions. In this paper, we show ...
  • 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 ...
  • Gualdoni, Eleonora; Kemp, Charles; Xu, Yang; Boleda, Gemma (Cognitive Science Society, 2023)
    The human lexicon expresses a wide array of concepts with a limited set of words. Previous work has suggested that semantic categories are structured compactly to enable informative communication. Informativeness is typically ...
  • Harrison, Sophie; Gualdoni, Eleonora; Boleda, Gemma (ACL (Association for Computational Linguistics), 2023)
    Gender bias in Language and Vision datasets and models has the potential to perpetuate harmful stereotypes and discrimination. We analyze gender bias in two Language and Vision datasets. Consistent with prior work, ...
  • Gualdoni, Eleonora; Brochhagen, Thomas; Mädebach, Andreas; Boleda, Gemma (Cognitive Science Society, 2022)
    Speakers often use different names to refer to the same entity (e.g., “woman” vs. “tennis player”). We here explore factors that affect naming variation for visually presented objects. We analyze a large dataset of object ...

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