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    Overview of the CLEF-2021 CheckThat! Lab Task 1 on check-worthiness estimation in tweets and political debates

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    paper-28.pdf (1.418Mb)
    Date
    2021-09
    Author
    Shaar, Shaden
    Hasanain, 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
    ...show more authors ...show less authors
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    Abstract
    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.
    URI
    https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85113440372&origin=inward
    DOI/handle
    http://hdl.handle.net/10576/52030
    Collections
    • Computer Science & Engineering [‎2428‎ items ]

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