Pre-training and Fine-tuning Neural Topic Model: A Simple yet Effective Approach to Incorporating External Knowledge

Linhai Zhang, Xuemeng Hu, Boyu Wang, Deyu Zhou, Qian-Wen Zhang, Yunbo Cao. Pre-training and Fine-tuning Neural Topic Model: A Simple yet Effective Approach to Incorporating External Knowledge. In Smaranda Muresan, Preslav Nakov, Aline Villavicencio, editors, Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), ACL 2022, Dublin, Ireland, May 22-27, 2022. pages 5980-5989, Association for Computational Linguistics, 2022. [doi]

@inproceedings{ZhangHWZZC22,
  title = {Pre-training and Fine-tuning Neural Topic Model: A Simple yet Effective Approach to Incorporating External Knowledge},
  author = {Linhai Zhang and Xuemeng Hu and Boyu Wang and Deyu Zhou and Qian-Wen Zhang and Yunbo Cao},
  year = {2022},
  url = {https://aclanthology.org/2022.acl-long.413},
  researchr = {https://researchr.org/publication/ZhangHWZZC22},
  cites = {0},
  citedby = {0},
  pages = {5980-5989},
  booktitle = {Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), ACL 2022, Dublin, Ireland, May 22-27, 2022},
  editor = {Smaranda Muresan and Preslav Nakov and Aline Villavicencio},
  publisher = {Association for Computational Linguistics},
  isbn = {978-1-955917-21-6},
}