Which NLP innovation dramatically improved retail chatbots' ability to understand context in customer queries between 2018-2020?

In the evolving landscape of retail technology, Natural Language Processing (NLP) has transformed how brands understand and engage with customers. Chatbots and AI assistants have become increasingly sophisticated in their linguistic capabilities, creating more natural and effective customer interactions. This poll tests your knowledge about a significant advancement in retail NLP technology that changed how language is processed in customer service applications.

This is a live public trivia poll on AIPolls.Net. Vote and see real-time results.

BERT (Bidirectional Encoder Representations from Transformers)
Word2Vec embedding models
Recurrent Neural Networks (RNNs) with LSTM
Rule-based sentiment analysis frameworks