Overview of the CLEF-2021 CheckThat! Lab Task 1 on check-worthiness estimation in tweets and political debates
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Date
2021-09Author
Shaar, ShadenHasanain, Maram
Hamdan, Bayan
Ali, Zien Sheikh
Haouari, Fatima
Nikolov, Alex
Kutlu, Mucahid
Kartal, Yavuz Selim
Alam, Firoj
da San Martino, Giovanni
Barrón-Cedeño, Alberto
Míguez, Rubén
Beltrán, Javier
Elsayed, Tamer
Nakov, Preslav
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We present an overview of Task 1 of the fourth edition of the CheckThat! Lab, part of the 2021 Conference and Labs of the Evaluation Forum (CLEF). The task asks to predict which posts in a Twitter stream are worth fact-checking, focusing on COVID-19 and politics in five languages: Arabic, Bulgarian, English, Spanish, and Turkish. A total of 15 teams participated in this task and most submissions managed to achieve sizable improvements over the baselines using Transformer-based models such as BERT and RoBERTa. Here, we describe the process of data collection and the task setup, including the evaluation measures, and we give a brief overview of the participating systems. We release to the research community all datasets from the lab as well as the evaluation scripts, which should enable further research in check-worthiness estimation for tweets and political debates.
DOI/handle
http://hdl.handle.net/10576/52030Collections
- Computer Science & Engineering [2402 items ]
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