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%0 Conference Proceedings
%T Benchmarking Neural Topic Models: An Empirical Study
%A Doan, Thanh-Nam
%A Hoang, Tuan-Anh
%Y Zong, Chengqing
%Y Xia, Fei
%Y Li, Wenjie
%Y Navigli, Roberto
%S Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021
%D 2021
%8 August
%I Association for Computational Linguistics
%C Online
%F doan-hoang-2021-benchmarking
%R 10.18653/v1/2021.findings-acl.382
%U https://aclanthology.org/2021.findings-acl.382
%U https://doi.org/10.18653/v1/2021.findings-acl.382
%P 4363-4368

Markdown (Informal)

[Benchmarking Neural Topic Models: An Empirical Study](https://aclanthology.org/2021.findings-acl.382) (Doan & Hoang, Findings 2021)

• Benchmarking Neural Topic Models: An Empirical Study (Doan & Hoang, Findings 2021)

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.