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Found 2 papers, 1 papers with code
Hierarchical Attention Prototypical Networks for Few-Shot Text Classification
Most of the current effective methods for text classification tasks are based on large-scale labeled data and a great number of parameters, but when the supervised training data are few and difficult to be collected, these models are not available.
CRASpell: A Contextual Typo Robust Approach to Improve Chinese Spelling Correction
These methods have two limitations: (1) they have poor performance on multi-typo texts.
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