Fact-Checking

DTCA: Decision Tree-based Co-Attention Networks for Explainable Claim Verification ACL 2020 Estimating predictive uncertainty for rumour verification models ACL 2020 Evidence-Aware Hierarchical Interactive Attention Networks for Explainable Claim Verification IJCAI 2020 Explainable Automated Fact-Checking: A Survey COLING 2020 Fact-Checking, Fake News, Propaganda, and Media Bias: Truth Seeking in the Post-Truth Era EMNLP 2020 Fact or Fiction: Verifying Scientific Claims EMNLP 2020 Factual Error Correction for Abstractive Summarization Models EMNLP 2020 Fine-grained Fact Verification with Kernel Graph Attention Network ACL 2020 GCAN: Graph-aware Co-Attention Networks for Explainable Fake News Detection on Social Media ACL 2020 Generating Fact Checking Briefs EMNLP 2020 Generating Fact Checking Explanations ACL 2020 Generating Fact Checking Summaries for Web Claims EMNLP 2020 Generating Label Cohesive and Well-Formed Adversarial Claims EMNLP 2020 Hierarchical Evidence Set Modeling for Automated Fact Extraction and Verification EMNLP 2020 HoVer: A Dataset for Many-Hop Fact Extraction And Claim Verification EMNLP 2020 How Effectively Can Machines Defend Against Machine-Generated Fake News? An Empirical Study EMNLP 2020 Language Models as Fact Checkers? ACL 2020 Learn to Combine Linguistic and Symbolic Information for Table-based Fact Verification COLING 2020 LogicalFactChecker: Leveraging Logical Operations for Fact Checking with Graph Module Network ACL 2020 Machine Generation and Detection of Arabic Manipulated and Fake News COLING 2020 Maintaining Quality in FEVER Annotation ACL 2020 Multi-Fact Correction in Abstractive Text Summarization EMNLP 2020 On Faithfulness and Factuality in Abstractive Summarization ACL 2020 Program Enhanced Fact Verification with Verbalization and Graph Attention Network EMNLP 2020 Prta: A System to Support the Analysis of Propaganda Techniques in the News ACL 2020