Universal Natural Language Processing with Limited Annotations: Try Few-shot Textual Entailment as a Start

Wenpeng Yin 0001, Nazneen Fatema Rajani, Dragomir R. Radev, Richard Socher, Caiming Xiong. Universal Natural Language Processing with Limited Annotations: Try Few-shot Textual Entailment as a Start. In Bonnie Webber, Trevor Cohn, Yulan He, Yang Liu, editors, Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, EMNLP 2020, Online, November 16-20, 2020. pages 8229-8239, Association for Computational Linguistics, 2020. [doi]

@inproceedings{YinRRSX20,
  title = {Universal Natural Language Processing with Limited Annotations: Try Few-shot Textual Entailment as a Start},
  author = {Wenpeng Yin 0001 and Nazneen Fatema Rajani and Dragomir R. Radev and Richard Socher and Caiming Xiong},
  year = {2020},
  url = {https://www.aclweb.org/anthology/2020.emnlp-main.660/},
  researchr = {https://researchr.org/publication/YinRRSX20},
  cites = {0},
  citedby = {0},
  pages = {8229-8239},
  booktitle = {Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, EMNLP 2020, Online, November 16-20, 2020},
  editor = {Bonnie Webber and Trevor Cohn and Yulan He and Yang Liu},
  publisher = {Association for Computational Linguistics},
  isbn = {978-1-952148-60-6},
}