End-to-end (E2E) models are becoming increasingly popular for spoken language
understanding (SLU) systems and are beginning to achieve competitive
performance to pipeline-based approaches. However, recent work has shown that
these models struggle to generalize to new phrasings for the same intent
indicating that models cannot understand the semantic content