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    <abstract>Given a word in context, the task of VisualWord Sense Disambiguation consists of select-ing the correct image among a set of candidates. To select the correct image, we propose a so-lution blending text augmentation and multi-modal models. Text augmentation leverages thefine-grained semantic annotation from Word-Net to get a better representation of the tex-tual component. We then compare this sense-augmented text to the set of image using pre-trained multimodal models CLIP and ViLT. Oursystem has been ranked 16th for the Englishlanguage, achieving 68.5 points for hit rate and79.2 for mean reciprocal rank.</abstract>
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%0 Conference Proceedings
%T GPL at SemEval-2023 Task 1: WordNet and CLIP to Disambiguate Images
%A Zhang, Shibingfeng
%A Nath, Shantanu
%A Mazzaccara, Davide
%Y Ojha, Atul Kr.
%Y Doğruöz, A. Seza
%Y Da San Martino, Giovanni
%Y Tayyar Madabushi, Harish
%Y Kumar, Ritesh
%Y Sartori, Elisa
%S Proceedings of the 17th International Workshop on Semantic Evaluation (SemEval-2023)
%D 2023
%8 July
%I Association for Computational Linguistics
%C Toronto, Canada
%F zhang-etal-2023-gpl
%X Given a word in context, the task of VisualWord Sense Disambiguation consists of select-ing the correct image among a set of candidates. To select the correct image, we propose a so-lution blending text augmentation and multi-modal models. Text augmentation leverages thefine-grained semantic annotation from Word-Net to get a better representation of the tex-tual component. We then compare this sense-augmented text to the set of image using pre-trained multimodal models CLIP and ViLT. Oursystem has been ranked 16th for the Englishlanguage, achieving 68.5 points for hit rate and79.2 for mean reciprocal rank.
%R 10.18653/v1/2023.semeval-1.219
%U https://aclanthology.org/2023.semeval-1.219
%U https://doi.org/10.18653/v1/2023.semeval-1.219
%P 1592-1597

Markdown (Informal)

[GPL at SemEval-2023 Task 1: WordNet and CLIP to Disambiguate Images](https://aclanthology.org/2023.semeval-1.219) (Zhang et al., SemEval 2023)

• GPL at SemEval-2023 Task 1: WordNet and CLIP to Disambiguate Images (Zhang et al., SemEval 2023)

ACL

• Shibingfeng Zhang, Shantanu Nath, and Davide Mazzaccara. 2023. GPL at SemEval-2023 Task 1: WordNet and CLIP to Disambiguate Images. In Proceedings of the 17th International Workshop on Semantic Evaluation (SemEval-2023), pages 1592–1597, Toronto, Canada. Association for Computational Linguistics.