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AUGNLG: Few-shot Natural Language Generation using Self-trained Data Augmentation

AUGNLG: Few-shot Natural Language Generation using Self-trained Data Augmentation

Xinnuo Xu
Guoyin Wang
Young-Bum Kim
Sungjin Lee
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Papers citing "AUGNLG: Few-shot Natural Language Generation using Self-trained Data Augmentation"

4 / 4 papers shown
Title
Contextual Data Augmentation for Task-Oriented Dialog Systems
Contextual Data Augmentation for Task-Oriented Dialog Systems
Dustin Axman
Avik Ray
Shubham Garg
Jing Huang
29
2
0
16 Oct 2023
Selective Token Generation for Few-shot Natural Language Generation
Selective Token Generation for Few-shot Natural Language Generation
DaeJin Jo
Taehwan Kwon
Eun-Sol Kim
Sungwoong Kim
35
1
0
17 Sep 2022
Self-training with Two-phase Self-augmentation for Few-shot Dialogue Generation
Self-training with Two-phase Self-augmentation for Few-shot Dialogue Generation
Wanyu Du
Hanjie Chen
Yangfeng Ji
31
1
0
19 May 2022
Data Augmentation Approaches in Natural Language Processing: A Survey
Data Augmentation Approaches in Natural Language Processing: A Survey
Bohan Li
Yutai Hou
Wanxiang Che
132
274
0
05 Oct 2021