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QMUL-SDS at CheckThat! 2020: Determining COVID-19 Tweet Check-Worthiness Using an Enhanced CT-BERT with Numeric Expressions [article]

Rabab Alkhalifa, Theodore Yoong, Elena Kochkina, Arkaitz Zubiaga, Maria Liakata
2020 arXiv   pre-print
This paper describes the participation of the QMUL-SDS team for Task 1 of the CLEF 2020 CheckThat! shared task.  ...  The purpose of this task is to determine the check-worthiness of tweets about COVID-19 to identify and prioritise tweets that need fact-checking.  ...  This work was also partially supported by The Alan Turing Institute under the EPSRC grant EP/N510-129/1.  ... 
arXiv:2008.13160v1 fatcat:5l7qd2uqpve33j7tohm2tjydh4

Overview of CheckThat! 2020: Automatic Identification and Verification of Claims in Social Media [article]

Alberto Barron-Cedeno, Tamer Elsayed, Preslav Nakov, Giovanni Da San Martino, Maram Hasanain, Reem Suwaileh, Fatima Haouari, Nikolay Babulkov, Bayan Hamdan, Alex Nikolov, Shaden Shaar, Zien Sheikh Ali
2020 arXiv   pre-print
We present an overview of the third edition of the CheckThat! Lab at CLEF 2020. The lab featured five tasks in two different languages: English and Arabic.  ...  The lab is completed with Task 5 on check-worthiness estimation in political debates and speeches.  ...  The statements made herein are solely the responsibility of the authors.  ... 
arXiv:2007.07997v1 fatcat:gwrbaqolgbb7tm7vjulx7kji5a