Learning Disentangled Latent Topics for Twitter Rumour Veracity Classification

Anthology ID:: 2021.findings-acl.341
Volume:: Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021
Month:: August
Year:: 2021
Address:: Online
Venue:: Findings
SIG:
Publisher:: Association for Computational Linguistics
Note:
Pages:: 3902–3908
Language:
URL:: https://aclanthology.org/2021.findings-acl.341
DOI:: 10.18653/v1/2021.findings-acl.341
Bibkey:
Cite (ACL):: John Dougrez-Lewis, Maria Liakata, Elena Kochkina, and Yulan He. 2021. Learning Disentangled Latent Topics for Twitter Rumour Veracity Classification. In Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021, pages 3902–3908, Online. Association for Computational Linguistics.
Cite (Informal):: Learning Disentangled Latent Topics for Twitter Rumour Veracity Classification (Dougrez-Lewis et al., Findings 2021)
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