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Found 7 papers, 2 papers with code
Sentiment Interpretable Logic Tensor Network for Aspect-Term Sentiment Analysis
SILTN is interpretable because it is a neurosymbolic formalism and a computational model that supports learning and reasoning about data with a differentiable first-order logic language (FOL).
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.
Vision Reimagined: AI-Powered Breakthroughs in WiFi Indoor Imaging
This is the first research work to consider WiFi indoor imaging as a multi-modal image generation task that converts the measured WiFi power into a high-resolution indoor image.
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.
