55 citations · 82 across the 12 of their papers we have counts for
Showing 2023 · cs.CLShow all
2 papers · 2 filters
cs.CL2023
Contrast Is All You Need
Burak Kilic, Florix Bex, Albert Gatt
In this study, we analyze data-scarce classification scenarios, where available labeled legal data is small and imbalanced, potentially hurting the quality of the results. We focus…
cs.CL2023★ 1 cited
HL Dataset: Visually-grounded Description of Scenes, Actions and Rationales
Michele Cafagna, Kees van Deemter, Albert Gatt
Current captioning datasets focus on object-centric captions, describing the visible objects in the image, e.g. "people eating food in a park". Although these datasets are useful t…