8 citations · 8 across the 2 of their papers we have counts for
3 papers
What Vision-Language Models `See' when they See Scenes
Michele Cafagna, Kees van Deemter, Albert Gatt
Images can be described in terms of the objects they contain, or in terms of the types of scene or place that they instantiate. In this paper we address to what extent pretrained V…
On the interaction of automatic evaluation and task framing in headline style transfer
Lorenzo De Mattei, Michele Cafagna, Huiyuan Lai +3
An ongoing debate in the NLG community concerns the best way to evaluate systems, with human evaluation often being considered the most reliable method, compared to corpus-based me…
GePpeTto Carves Italian into a Language Model
Lorenzo De Mattei, Michele Cafagna, Felice Dell'Orletta +2
In the last few years, pre-trained neural architectures have provided impressive improvements across several NLP tasks. Still, generative language models are available mainly for E…