Benchmarking Neural Topic Models: An Empirical Study

Thanh-Nam Doan, Tuan-Anh Hoang


Anthology ID:
2021.findings-acl.382
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:
4363–4368
Language:
URL:
https://aclanthology.org/2021.findings-acl.382
DOI:
10.18653/v1/2021.findings-acl.382
Bibkey:
Cite (ACL):
Thanh-Nam Doan and Tuan-Anh Hoang. 2021. Benchmarking Neural Topic Models: An Empirical Study. In Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021, pages 4363–4368, Online. Association for Computational Linguistics.
Cite (Informal):
Benchmarking Neural Topic Models: An Empirical Study (Doan & Hoang, Findings 2021)
Copy Citation:
PDF:
https://aclanthology.org/2021.findings-acl.382.pdf
Video:
 https://aclanthology.org/2021.findings-acl.382.mp4