arXiv:2005.00388
공식 코드 · Papers with Code
Will-They-Won't-They: A Very Large Dataset for Stance Detection on Twitter
원문 초록
We present a new challenging stance detection dataset, called Will-They-Won't-They (WT-WT), which contains 51,284 tweets in English, making it by far the largest available dataset of the type. All the annotations are carried out by experts; therefore, the dataset constitutes a high-quality and reliable benchmark for future research in stance detection. Our experiments with a wide range of recent state-of-the-art stance detection systems show that the dataset poses a strong challenge to existing models in this domain.
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Emotion-aware Dual Cross-Attentive Neural Network with Label Fusion for Stance Detection in Misinformative Social Media Content
Words That Unite The World: A Unified Framework for Deciphering Central Bank Communications Globally
Collaborative Stance Detection via Small-Large Language Model Consistency Verification
Understanding and Tackling Label Errors in Individual-Level Nature Language Understanding
Tracking the Takes and Trajectories of English-Language News Narratives across Trustworthy and Worrisome Websites
FarExStance: Explainable Stance Detection for Farsi
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