ユーザの観点に基づくイベント系列化を用いたWebニュース記事閲覧支援システムの実装

概要

論文の詳細を見る
We propose a system to offer better understanding of news articles on the Web by arranging events. To understand an article, it is necessary to consider background knowledge, details of the article, and meaning of the words. We aim to provide with a better understanding of news articles according to news articles background by event arrangement. An event arrangement is a graph of related events. We believe that it is difficult to read and understand a topic without knowledge of related events. Arranging events by considering users interests is necessary to support understanding of the news because each users interests are different. The system deals with that issue by interaction between users input and the system output. Processing time and users interest are important to achieve our goal. The system reduces the processing time by restriction of the processing range using users input. Event arrangement according to user interest is realized by iterating over states of event presentation and user selection. The experimental results using actual news articles show that the proposed system is effective to detect useful events for understanding news articles.