TeamAmpa at SemEval-2023 Task 3: Exploring Multilabel and Multilingual RoBERTa Models for Persuasion and Framing Detection
Amalie Pauli, Rafael Sarabia, Leon Derczynski, Ira Assent
The 17th International Workshop on Semantic Evaluation (SemEval-2023) Task 3: detecting the category, the framing, and the persuasion techniques in online news in a multi-lingual setup Paper
TLDR:
This paper describes our submission to theSemEval 2023 Task 3 on two subtasks: detectingpersuasion techniques and framing. Bothsubtasks are multi-label classification problems.We present a set of experiments, exploring howto get robust performance across languages usingpre-trained RoBERTa models. We
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Abstract:
This paper describes our submission to theSemEval 2023 Task 3 on two subtasks: detectingpersuasion techniques and framing. Bothsubtasks are multi-label classification problems.We present a set of experiments, exploring howto get robust performance across languages usingpre-trained RoBERTa models. We test differentoversampling strategies, a strategy ofadding textual features from predictions obtainedwith related models, and present bothinconclusive and negative results. We achievea robust ranking across languages and subtaskswith our best ranking being nr. 1 for Subtask 3on Spanish.