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SciTweets - A Dataset and Annotation Framework for Detectin..:
, In:
Proceedings of the 31st ACM International Conference on Information & Knowledge Management
,
Hafid, Salim
;
Schellhammer, Sebastian
;
Bringay, Sandra
.. - p. 3988-3992 , 2022
Link:
https://dl.acm.org/doi/10.1145/3511808.3557693
RT T1 <cTitle>Proceedings of the 31st ACM International Conference on Information & Knowledge Management</cTitle>: T1 <Title>SciTweets - A Dataset and Annotation Framework for Detecting Scientific Online Discourse</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3557693&Exemplar=1&LAN=DE A1 Hafid, Salim A1 Schellhammer, Sebastian A1 Bringay, Sandra A1 Todorov, Konstantin A1 Dietze, Stefan PB ACM YR 2022 K1 dataset annotation K1 science discourse K1 scientific claims K1 Computing methodologies K1 Artificial intelligence K1 Natural language processing K1 Networks K1 Network types K1 Overlay and other logical network structures K1 Online social networks K1 Machine learning SP 3988 OP 3992 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3511808.3557693 DO https://dl.acm.org/doi/10.1145/3511808.3557693 SF ELIB - SuUB Bremen
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