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1st FEVER@EMNLP 2018: Brussels, Belgium
- James Thorne, Andreas Vlachos, Oana Cocarascu, Christos Christodoulopoulos, Arpit Mittal:
Proceedings of the First Workshop on Fact Extraction and VERification, FEVER@EMNLP 2018, Brussels, Belgium, November 1, 2018. Association for Computational Linguistics 2018, ISBN 978-1-948087-73-5 - James Thorne, Andreas Vlachos
, Oana Cocarascu, Christos Christodoulopoulos, Arpit Mittal:
The Fact Extraction and VERification (FEVER) Shared Task. 1-9 - Fatemeh Torabi Asr, Maite Taboada:
The Data Challenge in Misinformation Detection: Source Reputation vs. Content Veracity. 10-15 - Anca Dumitrache, Lora Aroyo, Chris Welty:
Crowdsourcing Semantic Label Propagation in Relation Classification. 16-21 - Vishal Gupta, Manoj Kumar Chinnakotla, Manish Shrivastava:
Retrieve and Re-rank: A Simple and Effective IR Approach to Simple Question Answering over Knowledge Graphs. 22-27 - Kevin Vincentius, Birte Högden, Claudia Schwenger, Ali Sahan, Neelu Madan, Piush Aggarwal, Anusha Bangaru, Farid Muradov, Ahmet Aker:
Information Nutrition Labels: A Plugin for Online News Evaluation. 28-33 - Motoki Taniguchi, Yasuhide Miura, Tomoko Ohkuma:
Joint Modeling for Query Expansion and Information Extraction with Reinforcement Learning. 34-39 - Costanza Conforti, Mohammad Taher Pilehvar, Nigel Collier:
Towards Automatic Fake News Detection: Cross-Level Stance Detection in News Articles. 40-49 - Diego Esteves, Aniketh Janardhan Reddy, Piyush Chawla, Jens Lehmann:
Belittling the Source: Trustworthiness Indicators to Obfuscate Fake News on the Web. 50-59 - Nona Naderi, Graeme Hirst:
Automated Fact-Checking of Claims in Argumentative Parliamentary Debates. 60-65 - Bilal Ghanem, Paolo Rosso, Francisco Rangel:
Stance Detection in Fake News A Combined Feature Representation. 66-71 - Abiola Obamuyide, Andreas Vlachos
Zero-shot Relation Classification as Textual Entailment. 72-78 - Juho Kim, Christopher Malon, Asim Kadav:
Teaching Syntax by Adversarial Distraction. 79-84 - Tariq Alhindi, Savvas Petridis
Where is Your Evidence: Improving Fact-checking by Justification Modeling. 85-90 - Daniel Loureiro
Affordance Extraction and Inference based on Semantic Role Labeling. 91-96 - Takuma Yoneda, Jeff Mitchell, Johannes Welbl, Pontus Stenetorp, Sebastian Riedel:
UCL Machine Reading Group: Four Factor Framework For Fact Finding (HexaF). 97-102 - Andreas Hanselowski, Hao Zhang, Zile Li, Daniil Sorokin, Benjamin Schiller, Claudia Schulz, Iryna Gurevych:
UKP-Athene: Multi-Sentence Textual Entailment for Claim Verification. 103-108 - Christopher Malon:
Team Papelo: Transformer Networks at FEVER. 109-113 - Jan Kowollik, Ahmet Aker:
Uni-DUE Student Team: Tackling fact checking through decomposable attention neural network. 114-118 - Farhad Nooralahzadeh, Lilja Øvrelid:
SIRIUS-LTG: An Entity Linking Approach to Fact Extraction and Verification. 119-123 - Motoki Taniguchi, Tomoki Taniguchi, Takumi Takahashi, Yasuhide Miura, Tomoko Ohkuma:
Integrating Entity Linking and Evidence Ranking for Fact Extraction and Verification. 124-126 - Tuhin Chakrabarty, Tariq Alhindi, Smaranda Muresan:
Robust Document Retrieval and Individual Evidence Modeling for Fact Extraction and Verification. 127-131 - Aniketh Janardhan Reddy, Gil Rocha
DeFactoNLP: Fact Verification using Entity Recognition, TFIDF Vector Comparison and Decomposable Attention. 132-137 - Sizhen Li, Shuai Zhao, Bo Cheng, Hao Yang:
An End-to-End Multi-task Learning Model for Fact Checking. 138-144 - Wolfgang Otto
Team GESIS Cologne: An all in all sentence-based approach for FEVER. 145-149 - Christopher Hidey, Mona T. Diab:
Team SWEEPer: Joint Sentence Extraction and Fact Checking with Pointer Networks. 150-155 - Jackson Luken, Nanjiang Jiang, Marie-Catherine de Marneffe:
QED: A fact verification system for the FEVER shared task. 156-160 - Ankur Padia, Francis Ferraro, Tim Finin:
Team UMBC-FEVER : Claim verification using Semantic Lexical Resources. 161-165 - Mithun Paul, Rebecca Sharp, Mihai Surdeanu:
A mostly unlexicalized model for recognizing textual entailment. 166-171
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