3 papers
cs.CL2022
Modeling sequential annotations for sequence labeling with crowds
Xiaolei Lu, Tommy W. S. Chow
Crowd sequential annotations can be an efficient and cost-effective way to build large datasets for sequence labeling. Different from tagging independent instances, for crowd seque…
cs.CL2022
Weak Disambiguation for Partial Structured Output Learning
Xiaolei Lu, Tommy W. S. Chow
Existing disambiguation strategies for partial structured output learning just cannot generalize well to solve the problem that there are some candidates which can be false positiv…
cs.LG2022
Partial sequence labeling with structured Gaussian Processes
Xiaolei Lu, Tommy W. S. Chow
Existing partial sequence labeling models mainly focus on max-margin framework which fails to provide an uncertainty estimation of the prediction. Further, the unique ground truth…