1 code implementation • 1 Sep 2021 • Mingkuan Liu, Chi Zhang, Hua Xing, Chao Feng, Monchu Chen, Judith Bishop, Grace Ngapo
Our A/B testing and pilot results demonstrated the HITL pipeline can improve annotation speed and capacity by at least 80% and quality is comparable to or higher than manual double pass annotation.
no code implementations • WS 2018 • Mingkuan Liu, Musen Wen, Selcuk Kopru, Xianjing Liu, Alan Lu
To tackle this challenge, in this paper, we propose a semi-supervised learning method to utilize unlabeled data and user feedback signals to improve the performance of ML models.