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…