ShefCDTeam at SemEval-2024 Task 4: A Text-to-Text Model for Multi-Label Classification
Published in SemEval (Lexical and Computational Semantics and Semantic Evaluation), 2024
The contents above will be part of a list of publications, if the user clicks the link for the publication than the contents of section will be rendered as a full page, allowing you to provide more information about the paper for the reader. When publications are displayed as a single page, the contents of the above “citation” field will automatically be included below this section in a smaller font.
Recommended citation: Meredith Gibbons, Maggie Mi, Xingyi Song, and Aline Villavicencio. 2024. ShefCDTeam at SemEval-2024 Task 4: A Text-to-Text Model for Multi-Label Classification. In Proceedings of the 18th International Workshop on Semantic Evaluation (SemEval-2024)<\em>, pages 1860–1867, Mexico City, Mexico. Association for Computational Linguistics.
Download Paper