Zechuan Hu — accepted AI-conference papers

2021

Multi-View Cross-Lingual Structured Prediction with Minimum Supervision

Zechuan Hu, Yong Jiang, Nguyen Bach, Tao Wang, Zhongqiang Huang, Fei Huang +1

ACL 2021long

In structured prediction problems, cross-lingual transfer learning is an efficient way to train quality models for low-resource languages, and further improvement can be obtained by learning from multiple source languages. However, not all source models are created equal and some may hurt performanc…

Cited by 7 Source ↗PDF ↗Scholar ↗

2021

Risk Minimization for Zero-shot Sequence Labeling

Zechuan Hu, Yong Jiang, Nguyen Bach, Tao Wang, Zhongqiang Huang, Fei Huang +1

ACL 2021long

Zero-shot sequence labeling aims to build a sequence labeler without human-annotated datasets. One straightforward approach is utilizing existing systems (source models) to generate pseudo-labeled datasets and train a target sequence labeler accordingly. However, due to the gap between the source an…

Cited by 3 Source ↗PDF ↗Scholar ↗