Fact-Checking

Cross-Lingual Cross-Platform Rumor Verification Pivoting on Multimedia Content EMNLP 2018 CRST: a Claim Retrieval System in Twitter COLING 2018 DeClarE: Debunking Fake News and False Claims using Evidence-Aware Deep Learning EMNLP 2018 DeFactoNLP: Fact Verification using Entity Recognition, TFIDF Vector Comparison and Decomposable Attention EMNLP 2018 Fact Checking via Evidence Patterns IJCAI 2018 FEVER: a Large-scale Dataset for Fact Extraction and VERification NAACL 2018 Improving Large-Scale Fact-Checking using Decomposable Attention Models and Lexical Tagging EMNLP 2018 Integrating Entity Linking and Evidence Ranking for Fact Extraction and Verification EMNLP 2018 Integrating Stance Detection and Fact Checking in a Unified Corpus NAACL 2018 Predicting Factuality of Reporting and Bias of News Media Sources EMNLP 2018 QED: A fact verification system for the FEVER shared task EMNLP 2018 Robust Document Retrieval and Individual Evidence Modeling for Fact Extraction and Verification. EMNLP 2018 SIRIUS-LTG: An Entity Linking Approach to Fact Extraction and Verification EMNLP 2018 Stance Detection in Fake News A Combined Feature Representation EMNLP 2018 Team GESIS Cologne: An all in all sentence-based approach for FEVER EMNLP 2018 Team Papelo: Transformer Networks at FEVER EMNLP 2018 Team SWEEPer: Joint Sentence Extraction and Fact Checking with Pointer Networks EMNLP 2018 Team UMBC-FEVER : Claim verification using Semantic Lexical Resources EMNLP 2018 The Data Challenge in Misinformation Detection: Source Reputation vs. Content Veracity EMNLP 2018 The Fact Extraction and VERification (FEVER) Shared Task EMNLP 2018 Towards Automatic Fake News Detection: Cross-Level Stance Detection in News Articles EMNLP 2018 TwoWingOS: A Two-Wing Optimization Strategy for Evidential Claim Verification EMNLP 2018 UCL Machine Reading Group: Four Factor Framework For Fact Finding (HexaF) EMNLP 2018 UKP-Athene: Multi-Sentence Textual Entailment for Claim Verification EMNLP 2018 Uni-DUE Student Team: Tackling fact checking through decomposable attention neural network EMNLP 2018