Understanding News Stories through SVO Triplets

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With the exponential growth in data, we often find ourselves struggling to deal with information overload. Techniques such as timeline summarization tackle this problem by generating short summaries for each time stamp on a timeline. However, we argue that rather than reading a set of blocks of texts, it is easier and quicker for a reader to observe dynamically changing relations between important entities that are illustrated through graphs. It enables her/him to grasp the major events of the whole story quickly. We develop an experimental system to evaluate on the 2014 FIFA World Cup Brazil news articles, and show that the result covers major events of the World Cup and can be understood in a short span of time
Publisher
Korean Institute of Information Scientists and Engineers (KIISE)
Issue Date
2016-01-18
Language
English
Citation

The 3rd International Conference on Big Data and Smart Computing (BigComp2016), , pp.498 - 501

URI
http://hdl.handle.net/10203/209429
Appears in Collection
CS-Conference Papers(학술회의논문)
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