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conftrace_

stance classification

69 papers

Papers

STANCY: Stance Classification Based on Consistency Cues EMNLP 2019 Tree LSTMs with Convolution Units to Predict Stance and Rumor Veracity in Social Media Conversations ACL 2019 UPV-28-UNITO at SemEval-2019 Task 7: Exploiting Post’s Nesting and Syntax Information for Rumor Stance Classification SemEval 2019 All-in-one: Multi-task Learning for Rumour Verification COLING 2018 Automated Fact-Checking of Claims in Argumentative Parliamentary Debates EMNLP 2018 Can Rumour Stance Alone Predict Veracity? COLING 2018 Cross-Target Stance Classification with Self-Attention Networks ACL 2018 Is Something Better than Nothing? Automatically Predicting Stance-based Arguments Using Deep Learning and Small Labelled Dataset NAACL 2018 Using Author Embeddings to Improve Tweet Stance Classification EMNLP 2018 A Dataset for Multi-Target Stance Detection EACL 2017 ConStance: Modeling Annotation Contexts to Improve Stance Classification EMNLP 2017 ECNU at SemEval-2017 Task 8: Rumour Evaluation Using Effective Features and Supervised Ensemble Models SemEval 2017 SemEval-2017 Task 8: RumourEval: Determining rumour veracity and support for rumours SemEval 2017 Stance Classification of Context-Dependent Claims EACL 2017 Stance Classification with Target-specific Neural Attention IJCAI 2017 Turing at SemEval-2017 Task 8: Sequential Approach to Rumour Stance Classification with Branch-LSTM SemEval 2017 A Joint Sentiment-Target-Stance Model for Stance Classification in Tweets COLING 2016 Stance Classification in Rumours as a Sequential Task Exploiting the Tree Structure of Social Media Conversations COLING 2016 UTCNN: a Deep Learning Model of Stance Classification on Social Media Text COLING 2016