no code implementations • WS 2019 • S Pezzelle, ro, Raquel Fern{\'a}ndez
In this paper, we experiment with a recently proposed visual reasoning task dealing with quantities {--} modeling the multimodal, contextually-dependent meaning of size adjectives ({`}big{'}, {`}small{'}) {--} and explore the impact of varying the training data on the learning behavior of a state-of-art system.
no code implementations • IJCNLP 2019 • S Pezzelle, ro, Raquel Fern{\'a}ndez
This work aims at modeling how the meaning of gradable adjectives of size ({`}big{'}, {`}small{'}) can be learned from visually-grounded contexts.
no code implementations • WS 2019 • Alberto Testoni, S Pezzelle, ro, Raffaella Bernardi
Inspired by the literature on multisensory integration, we develop a computational model to ground quantifiers in perception.