LSH projection classifiers lose only 2.94% average accuracy under misspelling attacks, far less than BERT or BiLSTM baselines.
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On-Device Text Representations Robust To Misspellings via Projections
LSH projection classifiers lose only 2.94% average accuracy under misspelling attacks, far less than BERT or BiLSTM baselines.