Generating Challenge Datasets for Task-Oriented Conversational Agents through Self-Play

RANLP, pp. 693-702, 2019.

Cited by: 0|Views35
EI

Abstract:

End-to-end neural approaches are becoming increasingly common in conversational scenarios due to their promising performances when provided with sufficient amount of data. In this paper, we present a novel methodology to address the interpretability of neural approaches in such scenarios by creating challenge datasets using dialogue sel...More

Code:

Data:

Your rating :
0

 

Tags
Comments