Title page for etd-0812103-212948


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URN etd-0812103-212948
Author Pao-Feng Wu
Author's Email Address No Public.
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Department Information Management
Year 2002
Semester 2
Degree Master
Type of Document
Language English
Title Use of Text Summarization for Supporting Event Detection
Date of Defense 2003-07-22
Page Count 57
Keyword
  • text summarization
  • event detection
  • environmental scanning
  • Abstract Environmental scanning, which acquires and use the information about event, trends, and changes in an organization’s external environment, is an important process in the strategic management of an organization and permits the organization to quickly adapt to the changes of its external environment. Event detection that detects the onset of new events from news documents is essential to facilitating an organization’s environmental scanning activity. However, traditional feature-based event detection techniques detect events by comparing the similarity between features of news stories and incur several problems. For example, for illustration and comparison purpose, a news story may contain sentences or paragraphs that are not highly relevant to defining its event. Without removing such less relevant sentences or paragraphs before detection, the effectiveness of traditional event detection techniques may suffer. In this study, we developed a summary-based event detection (SED) technique that filters less relevant sentences or paragraphs in a news story before performing feature-based event detection. Using a traditional feature-based event detection technique (i.e., INCR) as benchmark, the empirical evaluation results showed that the proposed SED technique could achieve comparable or even better detection effectiveness (measured by miss and false alarm rates) than the INCR technique, for data corpora where the percentage of news stories discussing
    old events is high.
    Advisory Committee
  • San-Yi Huang - chair
  • Chao-Min Chiu - co-chair
  • Chih-Ping Wei - advisor
  • Files
  • etd-0812103-212948.pdf
  • indicate in-campus access immediately and off_campus access in a year
    Date of Submission 2003-08-12

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