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Stance Classification

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Showing 51–75 of 101 papers

TitleStatusHype
Tree LSTMs with Convolution Units to Predict Stance and Rumor Veracity in Social Media Conversations—0
Rumor Detection by Exploiting User Credibility Information, Attention and Multi-task Learning—0
Fake News Detection using Stance Classification: A Survey—0
Stance Classification, Outcome Prediction, and Impact Assessment: NLP Tasks for Studying Group Decision-Making—0
UPV-28-UNITO at SemEval-2019 Task 7: Exploiting Post's Nesting and Syntax Information for Rumor Stance Classification—0
Columbia at SemEval-2019 Task 7: Multi-task Learning for Stance Classification and Rumour Verification—0
GWU NLP at SemEval-2019 Task 7: Hybrid Pipeline for Rumour Veracity and Stance Classification on Social Media—0
SINAI-DL at SemEval-2019 Task 7: Data Augmentation and Temporal Expressions—0
eventAI at SemEval-2019 Task 7: Rumor Detection on Social Media by Exploiting Content, User Credibility and Propagation Information—0
BUT-FIT at SemEval-2019 Task 7: Determining the Rumour Stance with Pre-Trained Deep Bidirectional TransformersCode0
A semi-supervised approach to message stance classification—0
Stance Classification for Rumour Analysis in Twitter: Exploiting Affective Information and Conversation StructureCode0
Using Author Embeddings to Improve Tweet Stance Classification—0
Stance Prediction for Russian: Data and AnalysisCode0
Analysis of Speeches in Indian Parliamentary Debates—0
A Retrospective Analysis of the Fake News Challenge Stance-Detection TaskCode0
A Retrospective Analysis of the Fake News Challenge Stance Detection TaskCode0
All-in-one: Multi-task Learning for Rumour Verification—0
Stance-In-Depth Deep Neural Approach to Stance Classification—0
Cross-Target Stance Classification with Self-Attention Networks—0
Forex trading and Twitter: Spam, bots, and reputation manipulation—0
Discourse-Aware Rumour Stance Classification in Social Media Using Sequential Classifiers—0
A Semi-Supervised Approach to Detecting Stance in Tweets—0
Fake news stance detection using stacked ensemble of classifiers—0
Toward Stance Classification Based on Claim Microstructures—0
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