u.ac.jp

u.ac.jp It is important to track the ow of topics to thoroughly understand the contents. Accordingly, a method that struc-tures the chronological semantic relations between news sto-ries, namely a topic thread structure has been proposed. It allows the comprehensive understanding of a topic by chronologically tracking stories one by one from the initial story. However, this task imposes a user to watch many sto-ries when it contains various sub-topics. Thus, we propose a method that estimates the representative story transition in a topic thread structure. In the proposed method, fea-tures obtained from a story and those from the topic thread structure are used for the estimation. We conrmed the ef-fectiveness of the proposed method by comparing the results obtained from the proposed method to the ground truth ob-tained from votes in a subjective experiment