2 citations · 3 across the 4 of their papers we have counts for
4 papers
Universal Post-Processing Networks for Joint Optimization of Modules in Task-Oriented Dialogue Systems
Atsumoto Ohashi, Ryuichiro Higashinaka
Post-processing networks (PPNs) are components that modify the outputs of arbitrary modules in task-oriented dialogue systems and are optimized using reinforcement learning (RL) to…
Proceedings of the Dialogue Robot Competition 2022
Ryuichiro Higashinaka, Takashi Minato, Hiromitsu Nishizaki +1
The proceedings contain papers on the dialogue systems developed by the twelve teams participating in DRC2022, as well as an overview paper summarizing the competition.
Overview of Dialogue Robot Competition 2022
Takashi Minato, Ryuichiro Higashinaka, Kurima Sakai +3
Although many competitions have been held on dialogue systems in the past, no competition has been organized specifically for dialogue with humanoid robots. As the first such attem…
Team Flow at DRC2022: Pipeline System for Travel Destination Recommendation Task in Spoken Dialogue
Ryu Hirai, Atsumoto Ohashi, Ao Guo +5
To improve the interactive capabilities of a dialogue system, e.g., to adapt to different customers, the Dialogue Robot Competition (DRC2022) was held. As one of the teams, we buil…