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Showing 1 to 1 of 1 for “"Complimentary Learning"”.
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Learning from multiple heterogeneous sources - Handling source trustworthiness and incompleteness
… tasks as proto-NER and present complementary learning to train with only partial annotations. For this purpose, we explore not only heuristic but also end-to-end learning approaches. Specifically, we transform original one-hot labels into fuzzy labels while preserving the original information. …