Google Research: BERT

Description

BERT (Bidirectional Encoder Representations from Transformers) is an open source natural language processing (NLP) system developed by Google Research. It is a deep learning model that uses unsupervised techniques to pre-train contextual representations from unlabeled text. BERT is designed to help computers understand the meaning of ambiguous language in text by using surrounding text to determine the most relevant meaning. It can be used for a variety of tasks such as question answering, sentiment analysis, text classification, and more. BERT has achieved state-of-the-art results in many NLP tasks and has been adopted by hundreds of companies and organizations.

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