Chengyue Jiang, Yinggong Zhao, Shanbo Chu, Libin Shen, Kewei Tu. Cold-Start and Interpretability: Turning Regular Expressions into Trainable Recurrent Neural Networks. 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 3193-3207, Association for Computational Linguistics, 2020. [doi]
@inproceedings{JiangZCST20,
title = {Cold-Start and Interpretability: Turning Regular Expressions into Trainable Recurrent Neural Networks},
author = {Chengyue Jiang and Yinggong Zhao and Shanbo Chu and Libin Shen and Kewei Tu},
year = {2020},
url = {https://www.aclweb.org/anthology/2020.emnlp-main.258/},
researchr = {https://researchr.org/publication/JiangZCST20},
cites = {0},
citedby = {0},
pages = {3193-3207},
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},
}