most citedAutomating concept-drift detection by self-evaluating predictive model degradation

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cs.CL2021

Explaining the Deep Natural Language Processing by Mining Textual Interpretable Features

Francesco Ventura, Salvatore Greco, Daniele Apiletti +1

Despite the high accuracy offered by state-of-the-art deep natural-language models (e.g. LSTM, BERT), their application in real-life settings is still widely limited, as they behav…