Sequence-Level Mixed Sample Data Augmentation

18 November 2020

Papers citing "Sequence-Level Mixed Sample Data Augmentation"

17 / 67 papers shown

Title
Improving Compositional Generalization with Latent Structure and Data Augmentation Linlu Qiu Peter Shaw Panupong Pasupat Pawel Krzysztof Nowak Tal Linzen Fei Sha Kristina Toutanova CoGe 30 57 0 14 Dec 2021
To Augment or Not to Augment? A Comparative Study on Text Augmentation Techniques for Low-Resource NLP Gözde Gül Sahin 40 33 0 18 Nov 2021
Data Augmentation Methods for Anaphoric Zero Pronouns Abdulrahman Aloraini Massimo Poesio 29 5 0 20 Sep 2021
Rethinking Data Augmentation for Low-Resource Neural Machine Translation: A Multi-Task Learning Approach Víctor M. Sánchez-Cartagena M. Esplà-Gomis Juan Antonio Pérez-Ortiz Felipe Sánchez-Martínez 45 27 0 08 Sep 2021
Mixup Decoding for Diverse Machine Translation Jicheng Li Pengzhi Gao Xuanfu Wu Yang Feng Zhongjun He Hua-Hong Wu Haifeng Wang 33 14 0 08 Sep 2021
Finding needles in a haystack: Sampling Structurally-diverse Training Sets from Synthetic Data for Compositional Generalization I. Oren Jonathan Herzig Jonathan Berant 30 31 0 06 Sep 2021
Sequence-to-Sequence Learning with Latent Neural Grammars Yoon Kim 33 40 0 02 Sep 2021
FlipDA: Effective and Robust Data Augmentation for Few-Shot Learning Jing Zhou Yanan Zheng Jie Tang Jian Li Zhilin Yang VLM 22 76 0 13 Aug 2021
Improving Distinction between ASR Errors and Speech Disfluencies with Feature Space Interpolation Seongmin Park D. Shin Sangyoun Paik Subong Choi Alena Kazakova Jihwa Lee 33 1 0 04 Aug 2021
Learning Algebraic Recombination for Compositional Generalization Chenyao Liu Shengnan An Zeqi Lin Qian Liu Bei Chen Jian-Guang Lou Lijie Wen Nanning Zheng Dongmei Zhang CoGe 196 36 0 14 Jul 2021
A Survey on Data Augmentation for Text Classification Markus Bayer M. Kaufhold Christian A. Reuter 36 334 0 07 Jul 2021
An Empirical Survey of Data Augmentation for Limited Data Learning in NLP Jiaao Chen Derek Tam Colin Raffel Joey Tianyi Zhou Diyi Yang 28 172 0 14 Jun 2021
Self-supervised and Supervised Joint Training for Resource-rich Machine Translation Yong Cheng Wei Wang Lu Jiang Wolfgang Macherey 21 17 0 08 Jun 2021
A Survey of Data Augmentation Approaches for NLP Steven Y. Feng Varun Gangal Jason W. Wei Sarath Chandar Soroush Vosoughi Teruko Mitamura Eduard H. Hovy AIMat 39 799 0 07 May 2021
GPT3Mix: Leveraging Large-scale Language Models for Text Augmentation Kang Min Yoo Dongju Park Jaewook Kang Sang-Woo Lee Woomyeong Park 31 235 0 18 Apr 2021
Substructure Substitution: Structured Data Augmentation for NLP Freda Shi Karen Livescu Kevin Gimpel 192 41 0 02 Jan 2021
Syntax-aware Data Augmentation for Neural Machine Translation Sufeng Duan Hai Zhao Dongdong Zhang Rui-cang Wang 13 16 0 29 Apr 2020