PRO-CS : An Instance-Based Prompt Composition Technique for Code-Switched Tasks

Srijan Bansal, Suraj Tripathi, Sumit Agarwal, Teruko Mitamura, Eric Nyberg. PRO-CS : An Instance-Based Prompt Composition Technique for Code-Switched Tasks. In Yoav Goldberg, Zornitsa Kozareva, Yue Zhang, editors, Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, EMNLP 2022, Abu Dhabi, United Arab Emirates, December 7-11. pages 10243-10255, Association for Computational Linguistics, 2022. [doi]

@inproceedings{BansalTAMN22,
  title = {PRO-CS : An Instance-Based Prompt Composition Technique for Code-Switched Tasks},
  author = {Srijan Bansal and Suraj Tripathi and Sumit Agarwal and Teruko Mitamura and Eric Nyberg},
  year = {2022},
  url = {https://aclanthology.org/2022.emnlp-main.698},
  researchr = {https://researchr.org/publication/BansalTAMN22},
  cites = {0},
  citedby = {0},
  pages = {10243-10255},
  booktitle = {Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, EMNLP 2022, Abu Dhabi, United Arab Emirates, December 7-11},
  editor = {Yoav Goldberg and Zornitsa Kozareva and Yue Zhang},
  publisher = {Association for Computational Linguistics},
}