出版社：The Japanese Society for Artificial Intelligence
摘要：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 user's interests is necessary to support understanding of the news because each user's interests are different. The system deals with that issue by interaction between user's input and the system output. Processing time and user's interest are important to achieve our goal. The system reduces the processing time by restriction of the processing range using user's 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.
