What is the difference between slot filling in NLU and named entity

A slot gate that focuses on learning the relationship between intent and slot attention vectors in order to obtain better semantic frame results by the

Intent and slot should have common semantic features as semantic concepts of discourse and should depend on each other A multitask joint model

slot dp 5000 Slot filling and intent prediction are basic tasks in capturing semantic frame of human utterances Slots and intent have strong correlation

slot machine words Our MISCA introduces an intent-slot co-attention mechanism and an underlying layer of label attention mechanism These mechanisms enable MISCA to effectively