Show simple item record

AuthorHasanain, Maram
AuthorElsayed, Tamer
Available date2024-11-05T06:05:20Z
Publication Date2020
Publication NameCEUR Workshop Proceedings
ResourceScopus
ISSN16130073
URIhttp://hdl.handle.net/10576/60889
AbstractThis paper describes the third-year participation of our bigIR group at Qatar University in CheckThat! lab at CLEF. This year we participated only in Arabic Task 1 that focuses on detecting check-worthy tweets on a given topic. We submitted four runs using both traditional classification models and a pre-trained language model: multilingual BERT (mBERT). Official results showed that our run using mBERT was the best among all our submitted runs. Furthermore, bigIR team was ranked third among all eight teams participated in the lab, with our best run ranked 6th among 28 runs.
SponsorThis work was made possible by NPRP grant# NPRP11S-1204-170060 from the Qatar National Research Fund (a member of Qatar Foundation). The statements made herein are solely the responsibility of the authors.
Languageen
PublisherCEUR-WS
SubjectClassification models
Language model
Qatar university
TitlebigIR at CheckThat! 2020: Multilingual BERT for Ranking Arabic Tweets by Check-worthiness
TypeConference
Volume Number2696
dc.accessType Open Access


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record