A Dialogue System with Knowledge Acquisition Ability from User's Utterance

Abstract

In this paper, we propose a dialogue system with knowledge acquisition ability from the user's utterances. The following two points are considered in this system. First, the user's preference is estimated from user's utterances. In the proposed system, each user's information such as the utterances, the topic words and the deep cases are memorized. The proposed system estimates user's preference using the emotion estimation and the topic words focusing on verbs. Also, these links can be learned based on the co-occurrence frequencies of emotion estimation. Second, the user's preference is utilized the dialogue system. The proposed system can select a more suitable topic using a user's preference. In addition, the proposed system can make use of the other person's utterances. Evaluation experiments have been carried out and we confirmed that the proposed system could improve the satisfaction level by usage of the stored information by the user. In addition, we evaluated the proposed system by elderly peoples. We confirmed that the proposed system is effective also as an attentive hearing system for elderly.