most citedAn End-to-End Dialogue State Tracking System with Machine Reading Comprehension and Wide & Deep Classification

18 citations · 18 across the 1 of their papers we have counts for

collaborators

1 paper

cs.CL2019★ 18 cited

An End-to-End Dialogue State Tracking System with Machine Reading Comprehension and Wide & Deep Classification

Yue Ma, Zengfeng Zeng, Dawei Zhu +5

This paper describes our approach in DSTC 8 Track 4: Schema-Guided Dialogue State Tracking. The goal of this task is to predict the intents and slots in each user turn to complete…