Title:	AN AUTOMATIC SUMMARIZATION SYSTEM USED AS A DECISION MAKING TOOL
Author(s):	Paulo C F De Oliveira , Edson Wilson Torrens , Sidney Schossland
ISBN:	978-972-8924-39-3
Editors:	António Palma dos Reis, Katherine Blashki and Yingcai Xiao (series editors:Piet Kommers, Pedro Isaías and Nian-Shing Chen)
Year:	2007
Edition:	Single
Keywords:	AI, text summarization, lexical cohesion, summary evaluation.
Type:	Short Paper
First Page:	201
Last Page:	206
Language:	English
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Full Contents:	click to dowload
Paper Abstract:	AI’s vital aim is to build machines that will mimic human intelligence. The research in automatic summarization is carried out using a combination of AI and linguistics knowledge, where programs which perform summarization have been developed. In fact, with the ever-increasing volume of information available, information access becomes more an issue of providing, only the relevant information, when it is required and in a form in which it can be used quickly. In the financial market, for example, information has a crucial role or in other words – it is the driving force. The information about the world events is an important indicator for the market fluctuations. All these events are presented daily through a variety of media, namely Reuters, Bloomberg and Dow Jones. Several thousands of pieces of information about these events are delivered every day to the investor’s desktop. And it is his task to collect, filter, understand and react to reports about these types of event. To overcome problems associated with overwhelming volumes of data, we developed an automatic text summarisation system called SummariserPort that reduces the volumes of information that need to be processed by the investor or the trader. Our summarization approach is robust and was entered in an international competition for automatic summarization programs with encouraging results.
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