BERT-based architectures are advanced neural network models that leverage the BERT (Bidirectional Encoder Representations from Transformers) framework to understand the context of words in search queries, enabling improved natural language understanding tasks. These architectures have transformed how various applications, especially in tasks like named entity recognition, process and interpret text data by capturing deep contextual relationships between words and their meanings through a bidirectional approach.
congrats on reading the definition of bert-based architectures. now let's actually learn it.