Information Sharing Method Between Groups Using Distributed Representation for Discussion Support System

Abstract

While the Internet has made it possible for people all over the world to be connected, we have faced the wall of the diversity of values. Although we often have to consider or respect other people's values, it is not easy to sense them due to the limitations of our knowledge, experience, and imagination. We have worked on how to mutually consider unfamiliar values and obtain a synergetic effect among people by developing a discussion support system called AIR-VAS. AIR-VAS is a system aiming to support being aware of other people's values in group discussions. AIR-VAS functions to recognize characteristic opinions of a group and share them among all people engaging in the discussion. Through the sharing of opinions, people can obtain different viewpoints on the issue of the current discussion so that AIR-VAS can stimulate people to generate/evaluate/analyze ideas. On the other hand, AIR-VAS extracts information about other groups based on the frequency of word and co-occurrence information, and we found a problem in the quality of the stimulation that system presented.In this paper, we propose a method that shares information based on distributed representation of language model. We evaluated the method by discussion data, and the result shows the effectiveness of the method.