Skip to content
conftrace_

Fact-Checking

931 papers

5
31
36
43
66
65
89
194
313
89
'20
'25

Papers

IMHO Fine-Tuning Improves Claim Detection NAACL 2019 Interactive Evidence Detection: train state-of-the-art model out-of-domain or simple model interactively? EMNLP 2019 Journalist-in-the-Loop: Continuous Learning as a Service for Rumour Analysis EMNLP 2019 MultiFC: A Real-World Multi-Domain Dataset for Evidence-Based Fact Checking of Claims EMNLP 2019 On the Importance of Delexicalization for Fact Verification EMNLP 2019 PerspectroScope: A Window to the World of Diverse Perspectives ACL 2019 Proppy: A System to Unmask Propaganda in Online News AAAI 2019 Ranking Generated Summaries by Correctness: An Interesting but Challenging Application for Natural Language Inference ACL 2019 SemEval-2019 Task 8: Fact Checking in Community Question Answering Forums SemEval 2019 Sentence-Level Evidence Embedding for Claim Verification with Hierarchical Attention Networks ACL 2019 SolomonLab at SemEval-2019 Task 8: Question Factuality and Answer Veracity Prediction in Community Forums SemEval 2019 TARGER: Neural Argument Mining at Your Fingertips ACL 2019 Team DOMLIN: Exploiting Evidence Enhancement for the FEVER Shared Task EMNLP 2019 Team GPLSI. Approach for automated fact checking EMNLP 2019 The FEVER2.0 Shared Task EMNLP 2019 The Swedish PoliGraph: A Semantic Graph for Argument Mining of Swedish Parliamentary Data ACL 2019 Towards Debiasing Fact Verification Models EMNLP 2019 TueFact at SemEval 2019 Task 8: Fact checking in community question answering forums: context matters SemEval 2019 Unsupervised Question Answering for Fact-Checking EMNLP 2019 Veritas Annotator: Discovering the Origin of a Rumour EMNLP 2019 An End-to-End Multi-task Learning Model for Fact Checking EMNLP 2018 Automated Fact-Checking of Claims in Argumentative Parliamentary Debates EMNLP 2018 Automated Fact Checking: Task Formulations, Methods and Future Directions COLING 2018 Automatic Stance Detection Using End-to-End Memory Networks NAACL 2018 Belittling the Source: Trustworthiness Indicators to Obfuscate Fake News on the Web EMNLP 2018