Search Results for author:
Found 5 papers, 2 papers with code
EDDA: A Encoder-Decoder Data Augmentation Framework for Zero-Shot Stance Detection
To address these issues, we propose an encoder-decoder data augmentation (EDDA) framework.
Cross-target Stance Detection by Exploiting Target Analytical Perspectives
In this paper, we propose a Multi-Perspective Prompt-Tuning (MPPT) model for CTSD that uses the analysis perspective as a bridge to transfer knowledge.
A Logically Consistent Chain-of-Thought Approach for Stance Detection
Zero-shot stance detection (ZSSD) aims to detect stances toward unseen targets.
Investigating Chain-of-thought with ChatGPT for Stance Detection on Social Media
Stance detection predicts attitudes towards targets in texts and has gained attention with the rise of social media.
How would Stance Detection Techniques Evolve after the Launch of ChatGPT?
ChatGPT has the potential to be the best AI model for stance detection tasks in NLP, or at least change the research paradigm of this field.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
