In conversation, a speaker sometimes asks questions that re- late to another speaker's detailed personality, such as his/her favorite foods and sports. This behavior also appears in conversations with con- versational agents; therefore, agents should be developed that can re- spond to such questions. In previous agents, this was achieved by creating question-answer pairs defined by hand. However, when a small number of persons create the pairs, we cannot know what types of questions are frequently asked. This makes it difficult to know whether the cre- ated questions cover frequently asked questions; therefore, such essential question-answer pairs for conversational agents are possibly overlooked. This study analyzes a large number of question-answer pairs for six per- sonae created by many question-generators, with one answer-generator for each persona. The proposed approach allows many questioners to cre- ate questions for various personae, enabling us to investigate the types of questions that are frequently asked. A comparison with questions appear- ing in conversations between humans shows that 50.2% of the questions were contained in our question-answer pairs and the coverage rate was almost saturated with the 20 recruited question-generators.
['Hiroaki Sugiyama', 'Toyomi Meguro', 'Ryuichiro Higashinaka', 'Yasuhiro Minami']
Large-scale Collection and Analysis of Personal Question-Answer Pairs for Conversational Agents