Jingfeng Yang, Diyi Yang, Zhaoran Ma. Planning and Generating Natural and Diverse Disfluent Texts as Augmentation for Disfluency Detection. 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 1450-1460, Association for Computational Linguistics, 2020. [doi]
@inproceedings{YangYM20-0,
title = {Planning and Generating Natural and Diverse Disfluent Texts as Augmentation for Disfluency Detection},
author = {Jingfeng Yang and Diyi Yang and Zhaoran Ma},
year = {2020},
url = {https://www.aclweb.org/anthology/2020.emnlp-main.113/},
researchr = {https://researchr.org/publication/YangYM20-0},
cites = {0},
citedby = {0},
pages = {1450-1460},
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},
}