4 papers
PHALM: Building a Knowledge Graph from Scratch by Prompting Humans and a Language Model
Tatsuya Ide, Eiki Murata, Daisuke Kawahara +4
Despite the remarkable progress in natural language understanding with pretrained Transformers, neural language models often do not handle commonsense knowledge well. Toward common…
Dialogue Systems Can Generate Appropriate Responses without the Use of Question Marks? -- Investigation of the Effects of Question Marks on Dialogue Systems
Tomoya Mizumoto, Takato Yamazaki, Katsumasa Yoshikawa +3
When individuals engage in spoken discourse, various phenomena can be observed that differ from those that are apparent in text-based conversation. While written communication comm…
Tourist Guidance Robot Based on HyperCLOVA
Takato Yamazaki, Katsumasa Yoshikawa, Toshiki Kawamoto +5
This paper describes our system submitted to Dialogue Robot Competition 2022. Our proposed system is a combined model of rule-based and generation-based dialog systems. The system…
Building a Personalized Dialogue System with Prompt-Tuning
Tomohito Kasahara, Daisuke Kawahara, Nguyen Tung +3
Dialogue systems without consistent responses are not fascinating. In this study, we build a dialogue system that can respond based on a given character setting (persona) to bring…