Abstract is missing.
- The Fact Extraction and VERification (FEVER) Shared TaskJames Thorne, Andreas Vlachos 0001, Oana Cocarascu, Christos Christodoulopoulos 0001, Arpit Mittal. 1-9 [doi]
- The Data Challenge in Misinformation Detection: Source Reputation vs. Content VeracityFatemeh Torabi Asr, Maite Taboada. 10-15 [doi]
- Crowdsourcing Semantic Label Propagation in Relation ClassificationAnca Dumitrache, Lora Aroyo, Chris Welty. 16-21 [doi]
- Retrieve and Re-rank: A Simple and Effective IR Approach to Simple Question Answering over Knowledge GraphsVishal Gupta, Manoj Kumar Chinnakotla, Manish Shrivastava 0001. 22-27 [doi]
- Information Nutrition Labels: A Plugin for Online News EvaluationKevin Vincentius, Birte Högden, Claudia Schwenger, Ali Sahan, Neelu Madan, Piush Aggarwal, Anusha Bangaru, Farid Muradov, Ahmet Aker. 28-33 [doi]
- Joint Modeling for Query Expansion and Information Extraction with Reinforcement LearningMotoki Taniguchi, Yasuhide Miura, Tomoko Ohkuma. 34-39 [doi]
- Towards Automatic Fake News Detection: Cross-Level Stance Detection in News ArticlesCostanza Conforti, Mohammad Taher Pilehvar, Nigel Collier. 40-49 [doi]
- Belittling the Source: Trustworthiness Indicators to Obfuscate Fake News on the WebDiego Esteves, Aniketh Janardhan Reddy, Piyush Chawla, Jens Lehmann 0001. 50-59 [doi]
- Automated Fact-Checking of Claims in Argumentative Parliamentary DebatesNona Naderi, Graeme Hirst. 60-65 [doi]
- Stance Detection in Fake News A Combined Feature RepresentationBilal Ghanem, Paolo Rosso, Francisco Rangel. 66-71 [doi]
- Zero-shot Relation Classification as Textual EntailmentAbiola Obamuyide, Andreas Vlachos 0001. 72-78 [doi]
- Teaching Syntax by Adversarial DistractionJuho Kim, Christopher Malon, Asim Kadav. 79-84 [doi]
- Where is Your Evidence: Improving Fact-checking by Justification ModelingTariq Alhindi, Savvas Petridis, Smaranda Muresan. 85-90 [doi]
- Affordance Extraction and Inference based on Semantic Role LabelingDaniel Loureiro, Alípio Jorge. 91-96 [doi]
- UCL Machine Reading Group: Four Factor Framework For Fact Finding (HexaF)Takuma Yoneda, Jeff Mitchell, Johannes Welbl, Pontus Stenetorp, Sebastian Riedel 0001. 97-102 [doi]
- UKP-Athene: Multi-Sentence Textual Entailment for Claim VerificationAndreas Hanselowski, Hao Zhang, Zile Li, Daniil Sorokin, Benjamin Schiller, Claudia Schulz 0001, Iryna Gurevych. 103-108 [doi]
- Team Papelo: Transformer Networks at FEVERChristopher Malon. 109-113 [doi]
- Uni-DUE Student Team: Tackling fact checking through decomposable attention neural networkJan Kowollik, Ahmet Aker. 114-118 [doi]
- SIRIUS-LTG: An Entity Linking Approach to Fact Extraction and VerificationFarhad Nooralahzadeh, Lilja Øvrelid. 119-123 [doi]
- Integrating Entity Linking and Evidence Ranking for Fact Extraction and VerificationMotoki Taniguchi, Tomoki Taniguchi, Takumi Takahashi, Yasuhide Miura, Tomoko Ohkuma. 124-126 [doi]
- Robust Document Retrieval and Individual Evidence Modeling for Fact Extraction and VerificationTuhin Chakrabarty, Tariq Alhindi, Smaranda Muresan. 127-131 [doi]
- DeFactoNLP: Fact Verification using Entity Recognition, TFIDF Vector Comparison and Decomposable AttentionAniketh Janardhan Reddy, Gil Rocha, Diego Esteves. 132-137 [doi]
- An End-to-End Multi-task Learning Model for Fact CheckingSizhen Li, Shuai Zhao, Bo Cheng, Hao Yang 0006. 138-144 [doi]
- Team GESIS Cologne: An all in all sentence-based approach for FEVERWolfgang Otto 0002. 145-149 [doi]
- Team SWEEPer: Joint Sentence Extraction and Fact Checking with Pointer NetworksChristopher Hidey, Mona T. Diab. 150-155 [doi]
- QED: A fact verification system for the FEVER shared taskJackson Luken, Nanjiang Jiang, Marie-Catherine de Marneffe. 156-160 [doi]
- Team UMBC-FEVER : Claim verification using Semantic Lexical ResourcesAnkur Padia, Francis Ferraro, Tim Finin. 161-165 [doi]
- A mostly unlexicalized model for recognizing textual entailmentMithun Paul, Rebecca Sharp, Mihai Surdeanu. 166-171 [doi]