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Rumour Detection
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Rumor detection is the task of identifying rumors, i.e. statements whose veracity is not quickly or ever confirmed, in utterances on social media platforms.
논문
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Back to the Future -- Sequential Alignment of Text Representations
Danish Stance Classification and Rumour Resolution
Rumour Detection via News Propagation Dynamics and User Representation Learning
CLEARumor at SemEval-2019 Task 7: ConvoLving ELMo Against Rumors
BUT-FIT at SemEval-2019 Task 7: Determining the Rumour Stance with Pre-Trained Deep Bidirectional Transformers
A semi-supervised approach to message stance classification
A Speech Act Classifier for Persian Texts and its Application in Identifying Rumors
Stance Classification for Rumour Analysis in Twitter: Exploiting Affective Information and Conversation Structure
RumourEval 2019: Determining Rumour Veracity and Support for Rumours
All-in-one: Multi-task Learning for Rumour Verification
Turing at SemEval-2017 Task 8: Sequential Approach to Rumour Stance Classification with Branch-LSTM
SemEval-2017 Task 8: RumourEval: Determining rumour veracity and support for rumours
Detection and Resolution of Rumours in Social Media: A Survey
Determining the Veracity of Rumours on Twitter
Spotting Rumors via Novelty Detection
Learning Reporting Dynamics during Breaking News for Rumour Detection in Social Media
Stance Classification in Rumours as a Sequential Task Exploiting the Tree Structure of Social Media Conversations
Using Gaussian Processes for Rumour Stance Classification in Social Media
Classifying Tweet Level Judgements of Rumours in Social Media
Towards Detecting Rumours in Social Media
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