@InProceedings{higashinaka-EtAl:2018:SIGdial,
  author    = {Higashinaka, Ryuichiro  and  Mizukami, Masahiro  and  Kawabata, Hidetoshi  and  Yamaguchi, Emi  and  Adachi, Noritake  and  Tomita, Junji},
  title     = {Role play-based question-answering by real users for building chatbots with consistent personalities},
  booktitle = {Proceedings of the 19th Annual SIGdial Meeting on Discourse and Dialogue},
  month     = {July},
  year      = {2018},
  address   = {Melbourne, Australia},
  publisher = {Association for Computational Linguistics},
  pages     = {264--272},
  abstract  = {Having consistent personalities is important for chatbots if we want them to be believable. Typically, many question-answer pairs are prepared by hand for achieving consistent responses; however, the creation of such pairs is costly. In this study, our goal is to collect a large number of question-answer pairs for a particular character by using role play-based question-answering in which multiple users play the roles of certain characters and respond to questions by online users. Focusing on two famous characters, we conducted a large-scale experiment to collect question-answer pairs by using real users. We evaluated the effectiveness of role play-based question-answering and found that, by using our proposed method, the collected pairs lead to good-quality chatbots that exhibit consistent personalities.},
  url       = {http://www.aclweb.org/anthology/W18-5031}
}