Which NLP advancement has most significantly improved retail customer service chatbots in recent years?

Natural Language Processing (NLP) has transformed how retailers interact with customers through automated support systems. From basic chatbots to sophisticated virtual assistants, language technology has become central to modern customer service strategies. But how well do you understand the evolution and capabilities of these linguistic retail tools? Test your knowledge of where linguistics meets retail technology in this challenging trivia question!

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BERT (Bidirectional Encoder Representations from Transformers) models that better understand context and intent
Simple keyword matching algorithms that identify specific product names
LISP-based language processing frameworks with predetermined response trees
Phoneme analysis systems that detect customer accent and region