A Casual Conversation System Using Modality and Word Associations Retrieved from the Web
Shinsuke Higuchi, Rafał Rzepka, Kenji Araki · Institutional Repositories DataBase (IRDB) · 2008
In this paper we present a textual dialogue system that uses word associations retrieved from the Web to create propositions. We also show experiment results for the role of modal-ity generation. The proposed system automat-ically extracts sets of words related to a con-versation topic set freely by a user. After the extraction process, it generates an utterance, adds a modality and verifies the semantic re-liability of the proposed sentence. We evalu-ate word associations extracted form the Web, and the results of adding modality. Over 80% of the extracted word associations were evalu-ated as correct. Adding modality improved the system significantly for all evaluation criteria. We also show how our system can be used as a simple and expandable platform for almost any kind of experiment with human-computer textual conversation in Japanese. Two exam-ples with affect analysis and humor generation are given. 1