  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 utilizes HyperCLOVA, a Japanese foundation model,
not only to generate responses but also summarization, search information, etc.
We also used our original speech recognition system, which was fine-tuned for
this dialog task. As a result, our system ranked second in the preliminary
round and moved on to the finals.
