Recently, researchers from DeepMind, UC Berkeley and the University of Oxford introduced a knowledge distillation strategy for injecting syntactic biases into BERT pre-training in order to benchmark natural language understanding.

Bidirectional Encoder Representation from Transformers or BERT is one of the most popular neural network-based techniques for natural language processing (NLP) while pre-training. At the current scenario, while we search for anything on Google search engine, BERT provides us with the answers to our queries.

Read more: https://analyticsindiamag.com/how-syntactic-biases-help-bert-to-achieve-better-language-understanding/

#deep-learning