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https://github.com/uds-lsv/Multi-tasking_Learning_With_Unreliable_Labels
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.
machine-learning nlp noise-reduction
Last synced: 01 Aug 2024