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" ... In 2018, Google has open sourced a new technique for pre-training natural language processing (NLP) models called Bidirectional Encoder Representations from Transformers (BERT). This move from Google revolutionized the conversational user experience domain by empowering developers to train their own state-of-the-art question answering system and a variety of other natural language-based models. Google demonstrated how BERT delivered accurate results from Stanford Question Answering Dataset (SQuAD), a reading comprehension dataset based on questions posed by crowdworkers on a set of Wikipedia articles. ... "