Search Results for author:
Found 1 papers, 1 papers with code
STAD: Self-Training with Ambiguous Data for Low-Resource Relation Extraction
The approach first classifies the auto-annotated instances into two groups: confident instances and uncertain instances, according to the probabilities predicted by a teacher model.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
