UoR-NCL at SemEval-2023 Task 1: Learning Word-Sense and Image Embeddings for Word Sense Disambiguation
Thanet Markchom, Huizhi Liang, Joyce Gitau, Zehao Liu, Varun Ojha, Lee Taylor, Jake Bonnici, Abdullah Alshadadi
Abstract
In SemEval-2023 Task 1, a task of applying Word Sense Disambiguation in an image retrieval system was introduced. To resolve this task, this work proposes three approaches: (1) an unsupervised approach considering similarities between word senses and image captions, (2) a supervised approach using a Siamese neural network, and (3) a self-supervised approach using a Bayesian personalized ranking framework. According to the results, both supervised and self-supervised approaches outperformed the unsupervised approach. They can effectively identify correct images of ambiguous words in the dataset provided in this task.- Anthology ID:
- 2023.semeval-1.3
- Volume:
- Proceedings of the 17th International Workshop on Semantic Evaluation (SemEval-2023)
- Month:
- July
- Year:
- 2023
- Address:
- Toronto, Canada
- Editors:
- Atul Kr. Ojha, A. Seza Doğruöz, Giovanni Da San Martino, Harish Tayyar Madabushi, Ritesh Kumar, Elisa Sartori
- Venue:
- SemEval
- SIG:
- SIGLEX
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 16–22
- Language:
- URL:
- https://aclanthology.org/2023.semeval-1.3
- DOI:
- 10.18653/v1/2023.semeval-1.3
- Cite (ACL):
- Thanet Markchom, Huizhi Liang, Joyce Gitau, Zehao Liu, Varun Ojha, Lee Taylor, Jake Bonnici, and Abdullah Alshadadi. 2023. UoR-NCL at SemEval-2023 Task 1: Learning Word-Sense and Image Embeddings for Word Sense Disambiguation. In Proceedings of the 17th International Workshop on Semantic Evaluation (SemEval-2023), pages 16–22, Toronto, Canada. Association for Computational Linguistics.
- Cite (Informal):
- UoR-NCL at SemEval-2023 Task 1: Learning Word-Sense and Image Embeddings for Word Sense Disambiguation (Markchom et al., SemEval 2023)
- PDF:
- https://preview.aclanthology.org/fix_video/2023.semeval-1.3.pdf