1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.CL2020
An Investigation of Potential Function Designs for Neural CRF
Zechuan Hu, Yong Jiang, Nguyen Bach +4
The neural linear-chain CRF model is one of the most widely-used approach to sequence labeling. In this paper, we investigate a series of increasingly expressive potential function…
cs.LG2020★ 1 cited
Neural Latent Dependency Model for Sequence Labeling
Yang Zhou, Yong Jiang, Zechuan Hu +1
Sequence labeling is a fundamental problem in machine learning, natural language processing and many other fields. A classic approach to sequence labeling is linear chain condition…