Zero-Shot Stance Detection
8 papers with code • 0 benchmarks • 0 datasets
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Most implemented papers
Zero-Shot Stance Detection: A Dataset and Model using Generalized Topic Representations
Stance detection is an important component of understanding hidden influences in everyday life.
Adversarial Learning for Zero-Shot Stance Detection on Social Media
Stance detection on social media can help to identify and understand slanted news or commentary in everyday life.
Exploiting Sentiment and Common Sense for Zero-shot Stance Detection
Meanwhile, ablation studies prove the significance of each module in our model.
OpenStance: Real-world Zero-shot Stance Detection
To our knowledge, this is the first work that studies stance detection under the open-domain zero-shot setting.
Stance Detection With Supervised, Zero-Shot, and Few-Shot Applications
Stance detection is the identification of an author's beliefs about a subject from a document.
Stance Reasoner: Zero-Shot Stance Detection on Social Media with Explicit Reasoning
We present Stance Reasoner, an approach to zero-shot stance detection on social media that leverages explicit reasoning over background knowledge to guide the model's inference about the document's stance on a target.
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.