Explainable Slot Type Attentions to Improve Joint Intent Detection and Slot Filling. (arXiv:2210.10227v1 [cs.LG])

Joint intent detection and slot filling is a key research topic in natural
language understanding (NLU). Existing joint intent and slot filling systems
analyze and compute features collectively for all slot types, and importantly,
have no way to explain the slot filling model decisions. In this work, we
propose a novel approach that: (i) learns to generate additional slot type
specific features in order to improve accuracy and (ii) provides explanations
for slot filling decisions for the first time in …

arxiv detection intent detection type