57 citations · 61 across the 7 of their papers we have counts for
3 papers · 1 filter
High-risk learning: acquiring new word vectors from tiny data
Aurelie Herbelot, Marco Baroni
Distributional semantics models are known to struggle with small data. It is generally accepted that in order to learn 'a good vector' for a word, a model must have sufficient exam…
FOIL it! Find One mismatch between Image and Language caption
Ravi Shekhar, Sandro Pezzelle, Yauhen Klimovich +4
In this paper, we aim to understand whether current language and vision (LaVi) models truly grasp the interaction between the two modalities. To this end, we propose an extension o…
Pay Attention to Those Sets! Learning Quantification from Images
Ionut Sorodoc, Sandro Pezzelle, Aurélie Herbelot +2
Major advances have recently been made in merging language and vision representations. But most tasks considered so far have confined themselves to the processing of objects and le…