Distantly Supervised Explainable Stance Detection via Chain-of-Thought Supervision
Daijun Ding,
Genan Dai,
Cheng Peng
et al.
Abstract:Investigating public attitudes on social media is crucial for opinion mining systems. Stance detection aims to predict the attitude towards a specific target expressed in a text. However, effective neural stance detectors require substantial training data, which are challenging to curate due to the dynamic nature of social media. Moreover, deep neural networks (DNNs) lack explainability, rendering them unsuitable for scenarios requiring explanations. We propose a distantly supervised explainable stance detecti… Show more
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