Bianjing

Introducing Visual Scenes and Reasoning: A More Realistic Benchmark for Spoken Language Understanding

Spoken Language Understanding (SLU) consists of two sub-tasks: intent detection (ID) and slot filling (SF). Given its broad range of real-world applications, enhancing SLU for practical deployment is increasingly critical. Profile-based SLU addresses ambiguous user utterances by incorporating contex