Empirical Evaluation of Pre-trained Transformers for Human-Level NLP: The Role of Sample Size and Dimensionality

Adithya V. Ganesan, Matthew Matero, Aravind Reddy Ravula, Huy Vu, H. Andrew Schwartz. Empirical Evaluation of Pre-trained Transformers for Human-Level NLP: The Role of Sample Size and Dimensionality. In Kristina Toutanova, Anna Rumshisky, Luke Zettlemoyer, Dilek Hakkani-Tür, Iz Beltagy, Steven Bethard, Ryan Cotterell, Tanmoy Chakraborty 0002, Yichao Zhou, editors, Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL-HLT 2021, Online, June 6-11, 2021. pages 4515-4532, Association for Computational Linguistics, 2021. [doi]

@inproceedings{GanesanMRVS21,
  title = {Empirical Evaluation of Pre-trained Transformers for Human-Level NLP: The Role of Sample Size and Dimensionality},
  author = {Adithya V. Ganesan and Matthew Matero and Aravind Reddy Ravula and Huy Vu and H. Andrew Schwartz},
  year = {2021},
  url = {https://www.aclweb.org/anthology/2021.naacl-main.357/},
  researchr = {https://researchr.org/publication/GanesanMRVS21},
  cites = {0},
  citedby = {0},
  pages = {4515-4532},
  booktitle = {Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL-HLT 2021, Online, June 6-11, 2021},
  editor = {Kristina Toutanova and Anna Rumshisky and Luke Zettlemoyer and Dilek Hakkani-Tür and Iz Beltagy and Steven Bethard and Ryan Cotterell and Tanmoy Chakraborty 0002 and Yichao Zhou},
  publisher = {Association for Computational Linguistics},
  isbn = {978-1-954085-46-6},
}