News Event Relationship Detection Using Role and Topic information
Date Issued
2009
Date
2009
Author(s)
Chu, Chun-Bin
Abstract
Reading the evolution graph of news events is much easier than browsing the news events in a list. To construct the evolution graph, we have to detect the dependent relationship between news events.n this paper we present a method to automatically detect the evolution of news events. Our method is based on the similarity between news events, our method considers not only the characteristic of news events, but also considers the roles played by entity names in news events. The characteristic of news events could be defined as the topic of these news events, we can roughly understand what happened about these news events by topic information. The role means the concept behind a name entity which describe the name entities’ behavior, situation…etc. The same entity name might play different roles in different news events. We will introduce how we use the role and topic information to detect the relationship between news events.
Subjects
Event
Detection
Relationship
Type
thesis
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