Multi-tasking_Learning_With_Unreliable_Labels
Noisy label handling tool
An open source software project that extends an existing algorithm to handle noisy labels in machine learning for low-resource data generation.
Extending the NLNN algorithm proposed by Bekker & Goldbergers in a Multi-tasking Learning set-up to handle noisy labels. In order to extend low-resource data we often used artificial annotators. In this following setup we aim to generate clean training labeled data from artificial annotators.
8 stars
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4 forks
Language: Python
last commit: over 5 years ago
Linked from 1 awesome list
machine-learningnlpnoise-reduction
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