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SemEval-2017 Task 8: RumourEval: Determining rumour veracity and support for rumours
Leon Derczynski
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Kalina Bontcheva
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Maria Liakata
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Rob Procter
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Geraldine Wong Sak Hoi
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Arkaitz Zubiaga
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Paper Details:
Month: August
Year: 2017
Location: Vancouver, Canada
Venue:
*SEMEVAL |
Citations
URL
A Retrospective Analysis of the Fake News Challenge Stance-Detection Task
Andreas Hanselowski
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Avinesh PVS
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Benjamin Schiller
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Felix Caspelherr
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Debanjan Chaudhuri
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Christian M. Meyer
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Iryna Gurevych
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Automated Fact Checking: Task Formulations, Methods and Future Directions
James Thorne
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Andreas Vlachos
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Can Rumour Stance Alone Predict Veracity?
Sebastian Dungs
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Ahmet Aker
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Norbert Fuhr
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Kalina Bontcheva
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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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Simple Open Stance Classification for Rumour Analysis
Ahmet Aker
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Leon Derczynski
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Kalina Bontcheva
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Fully Automated Fact Checking Using External Sources
Georgi Karadzhov
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Preslav Nakov
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Lluís Màrquez
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Alberto Barrón-Cedeño
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Ivan Koychev
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UWaterloo at SemEval-2017 Task 8: Detecting Stance towards Rumours with Topic Independent Features
Hareesh Bahuleyan
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Olga Vechtomova
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NileTMRG at SemEval-2017 Task 8: Determining Rumour and Veracity Support for Rumours on Twitter.
Omar Enayet
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Samhaa R. El-Beltagy
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ECNU at SemEval-2017 Task 8: Rumour Evaluation Using Effective Features and Supervised Ensemble Models
Feixiang Wang
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Man Lan
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Yuanbin Wu
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http://www.pheme.eu/events/rdsm2015/
http://dl.acm.org/citation.cfm?id=2107653.2107654
https://doi.org/10.1007/978-3-319-13734-6
https://doi.org/10.1371/journal.pone.0150989
Field Of Study
Linguistic Trends
Discourse
Task
Question Answering
Language
French
Dataset
News
Social Media
Twitter
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