- 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
- 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)
- PDF:
- https://preview.aclanthology.org/build-pipeline-with-new-library/2021.findings-acl.63.pdf