SIAST: A Slot Imbalance-Aware Self-Training Scheme for Semi-Supervised Slot Filling
Author:
Affiliation:
1. Beijing University of Posts and Telecommunications,Beijing,China
2. University of Toronto,Toronto,Ontario,Canada
Funder
National Natural Science Foundation of China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10094559/10094560/10096302.pdf?arnumber=10096302
Reference17 articles.
1. Learning imbalanced datasets with label-distribution-aware margin loss;cao;Advances in neural information processing systems,2019
2. Abc: Auxiliary balanced classifier for class-imbalanced semisupervised learning;lee;Advances in neural information processing systems,2021
3. Few-NERD: A Few-shot Named Entity Recognition Dataset
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1. Feature Space Manipulation and Fusion for Severe Imbalanced Data;2023 8th IEEE International Conference on Network Intelligence and Digital Content (IC-NIDC);2023-11-03
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