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SocialPET: Socially Informed Pattern Exploiting Training for Few-Shot Stance Detection in Social Media
Stance detection, as the task of determining the viewpoint of a social media post towards a target as 'favor' or 'against', has been understudied in the challenging yet realistic scenario where there is limited labeled data for a certain target.
Few-shot Learning for Cross-Target Stance Detection by Aggregating Multimodal Embeddings
To address the cross-target stance detection in social media by leveraging the social nature of the task, we introduce CT-TN, a novel model that aggregates multimodal embeddings derived from both textual and network features of the data.
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