Search Results for author: Seokhwan Jo

Found 1 papers, 0 papers with code

SUMBT+LaRL: Effective Multi-domain End-to-end Neural Task-oriented Dialog System

no code implementations22 Sep 2020 Hwaran Lee, Seokhwan Jo, HyungJun Kim, SangKeun Jung, Tae-Yoon Kim

To our best knowledge, our work is the first comprehensive study of a modularized E2E multi-domain dialog system that learning from each component to the entire dialog policy for task success.

reinforcement-learning Reinforcement Learning (RL)

Cannot find the paper you are looking for? You can Submit a new open access paper.