Meet The Truth: Leverage Objective Facts and Subjective Views for Interpretable Rumor Detection

Jiawen Li, Shiwen Ni, Hung-Yu Kao


Anthology ID:
2021.findings-acl.63
Volume:
Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021
Month:
August
Year:
2021
Address:
Online
Editors:
Chengqing Zong, Fei Xia, Wenjie Li, Roberto Navigli
Venue:
Findings
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
705–715
Language:
URL:
https://preview.aclanthology.org/build-pipeline-with-new-library/2021.findings-acl.63/
DOI:
10.18653/v1/2021.findings-acl.63
Bibkey:
Cite (ACL):
Jiawen Li, Shiwen Ni, and Hung-Yu Kao. 2021. Meet The Truth: Leverage Objective Facts and Subjective Views for Interpretable Rumor Detection. In Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021, pages 705–715, Online. Association for Computational Linguistics.
Cite (Informal):
Meet The Truth: Leverage Objective Facts and Subjective Views for Interpretable Rumor Detection (Li et al., Findings 2021)
Copy Citation:
PDF:
https://preview.aclanthology.org/build-pipeline-with-new-library/2021.findings-acl.63.pdf
Video:
 https://preview.aclanthology.org/build-pipeline-with-new-library/2021.findings-acl.63.mp4