EasyAug: An Automatic Textual Data Augmentation Platform for Classification Tasks-Reference-Cited by-同舟云学术

EasyAug: An Automatic Textual Data Augmentation Platform for Classification Tasks

Published:2020-04-20 Issue: Volume: Page:
ISSN:
Container-title:Companion Proceedings of the Web Conference 2020
language:
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Author:

Qiu Siyuan¹,Xu Binxia¹,Zhang Jie¹,Wang Yafang¹,Shen Xiaoyu²,de Melo Gerard³,Long Chong¹,Li Xiaolong¹

Affiliation:

1. Ant Financial Services Group

2. Max Planck Institute for Informatics

3. Rutgers University

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3366424.3383552

Reference18 articles.

1. Samuel R Bowman Luke Vilnis Oriol Vinyals Andrew M Dai Rafal Jozefowicz and Samy Bengio. 2015. Generating sentences from a continuous space. arXiv preprint arXiv:1511.06349(2015). Samuel R Bowman Luke Vilnis Oriol Vinyals Andrew M Dai Rafal Jozefowicz and Samy Bengio. 2015. Generating sentences from a continuous space. arXiv preprint arXiv:1511.06349(2015).

2. Yutai Hou Yijia Liu Wanxiang Che and Ting Liu. 2018. Sequence-to-sequence data augmentation for dialogue language understanding. arXiv preprint arXiv:1807.01554(2018). Yutai Hou Yijia Liu Wanxiang Che and Ting Liu. 2018. Sequence-to-sequence data augmentation for dialogue language understanding. arXiv preprint arXiv:1807.01554(2018).

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