Source-Free Unsupervised Domain Adaptation for Question Answering
Author:
Affiliation:
1. Sun Yat-Sen University,School of Intelligent Systems Engineering,Guangzhou,China
2. Alibaba Group
Funder
National Natural Science Foundation of China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10094559/10094560/10095248.pdf?arnumber=10095248
Reference21 articles.
1. Unsupervised domain adaptation in the absence of source data;sahoo,2020
2. Adaptive Adversarial Network for Source-free Domain Adaptation
3. SQuAD: 100,000+ Questions for Machine Comprehension of Text
4. Exploring the limits of transfer learning with a unified text-to-text transformer;raffel;The Journal of Machine Learning Research,2020
5. Domain-agnostic Question-Answering with Adversarial Training
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