@inproceedings{raganato-etal-2023-semeval,
title = "{S}em{E}val-2023 Task 1: Visual Word Sense Disambiguation",
author = "Raganato, Alessandro and
Calixto, Iacer and
Ushio, Asahi and
Camacho-Collados, Jose and
Pilehvar, Mohammad Taher",
editor = {Ojha, Atul Kr. and
Do{\u{g}}ru{\"o}z, A. Seza and
Da San Martino, Giovanni and
Tayyar Madabushi, Harish and
Kumar, Ritesh and
Sartori, Elisa},
booktitle = "Proceedings of the 17th International Workshop on Semantic Evaluation (SemEval-2023)",
month = jul,
year = "2023",
address = "Toronto, Canada",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2023.semeval-1.308",
doi = "10.18653/v1/2023.semeval-1.308",
pages = "2227--2234",
abstract = "This paper presents the Visual Word Sense Disambiguation (Visual-WSD) task. The objective of Visual-WSD is to identify among a set of ten images the one that corresponds to the intended meaning of a given ambiguous word which is accompanied with minimal context. The task provides datasets for three different languages: English, Italian, and Farsi.We received a total of 96 different submissions. Out of these, 40 systems outperformed a strong zero-shot CLIP-based baseline. Participating systems proposed different zero- and few-shot approaches, often involving generative models and data augmentation. More information can be found on the task{'}s website: {\textbackslash}url{https://raganato.github.io/vwsd/}.",
}
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<abstract>This paper presents the Visual Word Sense Disambiguation (Visual-WSD) task. The objective of Visual-WSD is to identify among a set of ten images the one that corresponds to the intended meaning of a given ambiguous word which is accompanied with minimal context. The task provides datasets for three different languages: English, Italian, and Farsi.We received a total of 96 different submissions. Out of these, 40 systems outperformed a strong zero-shot CLIP-based baseline. Participating systems proposed different zero- and few-shot approaches, often involving generative models and data augmentation. More information can be found on the task’s website: \textbackslashurlhttps://raganato.github.io/vwsd/.</abstract>
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%0 Conference Proceedings
%T SemEval-2023 Task 1: Visual Word Sense Disambiguation
%A Raganato, Alessandro
%A Calixto, Iacer
%A Ushio, Asahi
%A Camacho-Collados, Jose
%A Pilehvar, Mohammad Taher
%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 raganato-etal-2023-semeval
%X This paper presents the Visual Word Sense Disambiguation (Visual-WSD) task. The objective of Visual-WSD is to identify among a set of ten images the one that corresponds to the intended meaning of a given ambiguous word which is accompanied with minimal context. The task provides datasets for three different languages: English, Italian, and Farsi.We received a total of 96 different submissions. Out of these, 40 systems outperformed a strong zero-shot CLIP-based baseline. Participating systems proposed different zero- and few-shot approaches, often involving generative models and data augmentation. More information can be found on the task’s website: \textbackslashurlhttps://raganato.github.io/vwsd/.
%R 10.18653/v1/2023.semeval-1.308
%U https://aclanthology.org/2023.semeval-1.308
%U https://doi.org/10.18653/v1/2023.semeval-1.308
%P 2227-2234
Markdown (Informal)
[SemEval-2023 Task 1: Visual Word Sense Disambiguation](https://aclanthology.org/2023.semeval-1.308) (Raganato et al., SemEval 2023)
ACL
- Alessandro Raganato, Iacer Calixto, Asahi Ushio, Jose Camacho-Collados, and Mohammad Taher Pilehvar. 2023. SemEval-2023 Task 1: Visual Word Sense Disambiguation. In Proceedings of the 17th International Workshop on Semantic Evaluation (SemEval-2023), pages 2227–2234, Toronto, Canada. Association for Computational Linguistics.