ParaTag: A Dataset of Paraphrase Tagging for Fine-Grained Labels, NLG Evaluation, and Data Augmentation

Shuohang Wang, Ruochen Xu, Yang Liu, Chenguang Zhu, Michael Zeng 0001. ParaTag: A Dataset of Paraphrase Tagging for Fine-Grained Labels, NLG Evaluation, and Data Augmentation. 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 7111-7122, Association for Computational Linguistics, 2022. [doi]

@inproceedings{WangXLZ022,
  title = {ParaTag: A Dataset of Paraphrase Tagging for Fine-Grained Labels, NLG Evaluation, and Data Augmentation},
  author = {Shuohang Wang and Ruochen Xu and Yang Liu and Chenguang Zhu and Michael Zeng 0001},
  year = {2022},
  url = {https://aclanthology.org/2022.emnlp-main.479},
  researchr = {https://researchr.org/publication/WangXLZ022},
  cites = {0},
  citedby = {0},
  pages = {7111-7122},
  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},
}