Intent Detection

Intent detection focuses on automatically identifying the user's goal or purpose from their input, whether text or speech, a crucial task for various applications like chatbots and personalized systems. Current research emphasizes improving accuracy and efficiency, particularly in handling out-of-domain queries and multiple simultaneous intents, often leveraging large language models (LLMs) and transformer-based architectures alongside traditional machine learning methods. This field is significant because accurate intent detection underpins the development of more robust and user-friendly human-computer interaction systems across diverse domains, from e-commerce to healthcare.