When in Doubt: Improving Classification Performance with Alternating Normalization

Menglin Jia, Austin Reiter, Ser-Nam Lim, Yoav Artzi, Claire Cardie. When in Doubt: Improving Classification Performance with Alternating Normalization. In Marie-Francine Moens, Xuanjing Huang, Lucia Specia, Scott Wen-tau Yih, editors, Findings of the Association for Computational Linguistics: EMNLP 2021, Virtual Event / Punta Cana, Dominican Republic, 16-20 November, 2021. pages 1716-1723, Association for Computational Linguistics, 2021. [doi]

@inproceedings{JiaRLAC21,
  title = {When in Doubt: Improving Classification Performance with Alternating Normalization},
  author = {Menglin Jia and Austin Reiter and Ser-Nam Lim and Yoav Artzi and Claire Cardie},
  year = {2021},
  url = {https://aclanthology.org/2021.findings-emnlp.148},
  researchr = {https://researchr.org/publication/JiaRLAC21},
  cites = {0},
  citedby = {0},
  pages = {1716-1723},
  booktitle = {Findings of the Association for Computational Linguistics: EMNLP 2021, Virtual Event / Punta Cana, Dominican Republic, 16-20 November, 2021},
  editor = {Marie-Francine Moens and Xuanjing Huang and Lucia Specia and Scott Wen-tau Yih},
  publisher = {Association for Computational Linguistics},
}