Automatic generation of Japanese traditional funny scenario from web content based on web intelligence

Today there is much information and knowledge on the internet, and many studies have examined the extraction of many kinds of knowledge from the internet. In addition, numerous studies have examined entertainment robots that communicate with people, but it is difficult for robots to communicate smoothly with people. We specifically examine communication between robots based on dialogue. Here, we create a dialogue-based scenario for the robots to undertake automatically, but it is difficult because the dialogue requires knowledge of many kinds. We consider the use of the knowledge from the web and create scenarios automatically. As described herein, we propose a system that generates dialogue scenarios automatically from web news articles in real time. We used the Manzai metaphor, which is Japanese traditional humorous comedy in our system. Our generated Manzai scenario consists of snappy patter and a misunderstanding dialogue based on the gap of our structure of funny points. We create communication robots to amuse people with our generated humorous robot dialogue scenarios.