Join Intent Classification and Slot Filling
Join Intent Classification and Slot Filling
slot filling task, the basic structure of BLSTM f2 is similar to that for the intent detection task f1 , time step except that there is one slot tag
In this work, we propose an end-to-end hierarchical multi-task model that can jointly perform both intent detection and slot filling tasks for the datasets of This article is a compilation of past work in natural language understanding, especially joint intent classification and slot filling We observe three
male cord female slot The goal of Slot Filling is to identify from a running dialog different slots, which correspond to different parameters of the user's query Slot Filling Slot filling is the process of gathering information required by an intent This information is defined as slots as we mentioned in the above