2021
Semi-supervised Relation Extraction via Incremental Meta Self-Training
EMNLP 2021finding
To alleviate human efforts from obtaining large-scale annotations, Semi-Supervised Relation Extraction methods aim to leverage unlabeled data in addition to learning from limited samples. Existing self-training methods suffer from the gradual drift problem, where noisy pseudo labels on unlabeled dat…