Learning Disentangled Latent Topics for Twitter Rumour Veracity Classification

John Dougrez-Lewis, Maria Liakata, Elena Kochkina, Yulan He


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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PDF:
https://preview.aclanthology.org/ingestion-script-update/2021.findings-acl.341.pdf
Video:
 https://preview.aclanthology.org/ingestion-script-update/2021.findings-acl.341.mp4
Code
 johnnlp/saved