Zero-Shot Stance Detection
8 papers with code • 0 benchmarks • 0 datasets
Benchmarks
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Most implemented papers
Zero-Shot Stance Detection: A Dataset and Model using Generalized Topic Representations
emilyallaway/zero-shot-stance
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EMNLP 2020
Stance detection is an important component of understanding hidden influences in everyday life.
Adversarial Learning for Zero-Shot Stance Detection on Social Media
MalavikaSrikanth16/adversarial-learning-for-stance
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NAACL 2021
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
luoxiaoheics/stancecs
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COLING 2022
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
szu-ddj/edda
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To address these issues, we propose an encoder-decoder data augmentation (EDDA) framework.
