KnowDA: All-in-One Knowledge Mixture Model for Data Augmentation in
Low-Resource NLP

KnowDA: All-in-One Knowledge Mixture Model for Data Augmentation in Low-Resource NLP

21 June 2022

Yufei Wang

Papers citing "KnowDA: All-in-One Knowledge Mixture Model for Data Augmentation in Low-Resource NLP"

5 / 5 papers shown

Title
Multitask Prompted Training Enables Zero-Shot Task Generalization Victor Sanh Albert Webson Colin Raffel Stephen H. Bach Lintang Sutawika ... T. Bers Stella Biderman Leo Gao Thomas Wolf Alexander M. Rush LRM 213 1,656 0 15 Oct 2021
CrossFit: A Few-shot Learning Challenge for Cross-task Generalization in NLP Qinyuan Ye Bill Yuchen Lin Xiang Ren 209 179 0 18 Apr 2021
Explainable Automated Fact-Checking for Public Health Claims Neema Kotonya Francesca Toni 216 249 0 19 Oct 2020
Data Augmentation using Pre-trained Transformer Models Varun Kumar Ashutosh Choudhary Eunah Cho VLM 214 315 0 04 Mar 2020
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding Alex Jinpeng Wang Amanpreet Singh Julian Michael Felix Hill Omer Levy Samuel R. Bowman ELM 297 6,950 0 20 Apr 2018