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FEVER: a Large-scale Dataset for Fact Extraction and VERification
James Thorne
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Andreas Vlachos
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Christos Christodoulopoulos
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Arpit Mittal
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Paper Details:
Month: June
Year: 2018
Location: New Orleans, Louisiana
Venue:
NAACL |
Citations
URL
Automated Fact Checking: Task Formulations, Methods and Future Directions
James Thorne
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Andreas Vlachos
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TwoWingOS: A Two-Wing Optimization Strategy for Evidential Claim Verification
Wenpeng Yin
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Dan Roth
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Improving Large-Scale Fact-Checking using Decomposable Attention Models and Lexical Tagging
Nayeon Lee
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Chien-Sheng Wu
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Pascale Fung
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Predicting Factuality of Reporting and Bias of News Media Sources
Ramy Baly
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Georgi Karadzhov
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Dimitar Alexandrov
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James Glass
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Preslav Nakov
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Automatic Stance Detection Using End-to-End Memory Networks
Mitra Mohtarami
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Ramy Baly
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James Glass
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Preslav Nakov
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Lluís Màrquez
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Alessandro Moschitti
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Attentive Convolution: Equipping CNNs with RNN-style Attention Mechanisms
Wenpeng Yin
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Hinrich Schütze
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evision PDF of 'The Fact Extraction and VERification (FEVER) Shared Task
James Thorne
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Andreas Vlachos
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Oana Cocarascu
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Christos Christodoulopoulos
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Arpit Mittal
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The Data Challenge in Misinformation Detection: Source Reputation vs. Content Veracity
Fatemeh Torabi Asr
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Maite Taboada
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Automated Fact-Checking of Claims in Argumentative Parliamentary Debates
Nona Naderi
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Graeme Hirst
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Teaching Syntax by Adversarial Distraction
Juho Kim
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Christopher Malon
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Asim Kadav
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Where is Your Evidence: Improving Fact-checking by Justification Modeling
Tariq Alhindi
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Savvas Petridis
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Smaranda Muresan
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UCL Machine Reading Group: Four Factor Framework For Fact Finding (HexaF)
Takuma Yoneda
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Jeff Mitchell
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Johannes Welbl
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Pontus Stenetorp
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Sebastian Riedel
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UKP-Athene: Multi-Sentence Textual Entailment for Claim Verification
Andreas Hanselowski
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Hao Zhang
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Zile Li
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Daniil Sorokin
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Benjamin Schiller
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Claudia Schulz
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Iryna Gurevych
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Team Papelo: Transformer Networks at FEVER
Christopher Malon
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Uni-DUE Student Team: Tackling fact checking through decomposable attention neural network
Jan Kowollik
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Ahmet Aker
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Integrating Entity Linking and Evidence Ranking for Fact Extraction and Verification
Motoki Taniguchi
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Tomoki Taniguchi
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Takumi Takahashi
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Yasuhide Miura
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Tomoko Ohkuma
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Robust Document Retrieval and Individual Evidence Modeling for Fact Extraction and Verification.
Tuhin Chakrabarty
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Tariq Alhindi
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Smaranda Muresan
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DeFactoNLP: Fact Verification using Entity Recognition, TFIDF Vector Comparison and Decomposable Attention
Aniketh Janardhan Reddy
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Gil Rocha
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Diego Esteves
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Team GESIS Cologne: An all in all sentence-based approach for FEVER
Wolfgang Otto
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Team SWEEPer: Joint Sentence Extraction and Fact Checking with Pointer Networks
Christopher Hidey
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Mona Diab
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QED: A fact verification system for the FEVER shared task
Jackson Luken
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Nanjiang Jiang
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Marie-Catherine de Marneffe
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Team UMBC-FEVER : Claim verification using Semantic Lexical Resources
Ankur Padia
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Francis Ferraro
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Tim Finin
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http://fever.ai
https://github.com/awslabs/fever
https://github.com/sheffieldnlp/
https://doi.org/10.18653/v1/P17-1171
https://doi.org/10.1017/S1351324909990209
https://doi.org/10.3115/1118108.1118117
https://aclweb.org/anthology/D16-
http://fakenewschallenge.org/
http://arxiv.org/abs/1707.03264
http://arxiv.org/abs/1705.11040
http://arxiv.org/abs/1611.01603
http://www.aclweb.org/anthology/W14-
http://aclweb.org/anthology/P17-
Field Of Study
Task
Textual Entailment
Information Retrieval
Question Answering
Language
Multilingual
English
Dataset
News
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