74 citations
- Politecnico di TorinoIT53 papers
- National University of UzbekistanUZ4 papers
- Heinrich Heine University DüsseldorfDE3 papers
- Brown UniversityUS2 papers
- Huaqiao UniversityCN2 papers
- Institute of PhysicsPL2 papers
- Istituto Nazionale di Fisica Nucleare, Sezione di TorinoIT2 papers
- Kazan Federal UniversityRU2 papers
- Osaka City UniversityJP2 papers
- Tohoku UniversityJP2 papers
- University of Milano-BicoccaIT2 papers
- Westminster International University in TashkentUZ2 papers
Showing 2021 · cs.CLShow all
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cs.CL2021★ 21 cited
Contrastive Language-Image Pre-training for the Italian Language
Federico Bianchi, Giuseppe Attanasio, Raphael Pisoni +3
CLIP (Contrastive Language-Image Pre-training) is a very recent multi-modal model that jointly learns representations of images and texts. The model is trained on a massive amount…
cs.CL2021
Explaining the Deep Natural Language Processing by Mining Textual Interpretable Features
Francesco Ventura, Salvatore Greco, Daniele Apiletti +1
Despite the high accuracy offered by state-of-the-art deep natural-language models (e.g. LSTM, BERT), their application in real-life settings is still widely limited, as they behav…