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Acemap > Paper > Handling Noisy Labels for Robustly Learning from Self-Training Data for Low-Resource Sequence Labeling

Handling Noisy Labels for Robustly Learning from Self-Training Data for Low-Resource Sequence Labeling

2019

Debjit Paul
Mittul Singh
Michael A. Hedderich
Dietrich Klakow

Keywords:

Artificial intelligence
Artificial neural network
Machine learning
Baseline (configuration management)
Training set
Computer science
Chunking (psychology)
Sequence labeling

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