NLUBot101 at SemEval-2023 Task 3: An Augmented Multilingual NLI Approach Towards Online News Persuasion Techniques Detection
Genglin Liu, Yi R. Fung, Heng Ji · 2023
We describe our submission to SemEval 2023 Task 3, specifically the subtask on persuasion technique detection.In this work, our team tackled a novel task of classifying persuasion techniques in online news articles at a paragraph level.The low-resource multilingual datasets, along with the imbalanced label distribution, make this task challenging.Our team presented a cross-lingual data augmentation approach and leveraged a recently proposed multilingual natural language inference model to address these challenges.Our solution achieves the highest macro-F1 score for the English task, and top 5 micro-F1 scores on both the English and Russian leaderboards.We have made the source code of our models and experiments publically available at 1 .