Comparing BERT against traditional machine learning text classification

26 May 2020Santiago González-CarvajalEduardo C. Garrido-Merchán

The BERT model has arisen as a popular state-of-the-art machine learning model in the recent years that is able to cope with multiple NLP tasks such as supervised text classification without human supervision. Its flexibility to cope with any type of corpus delivering great results has make this approach very popular not only in academia but also in the industry... (read more)

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