Automated Text Summarization using MEAD: Experience with the IMF Staff Reports

Posted in Science on July 31, 2008


Automated Text Summarization using MEAD: Experience with the IMF Staff Reports

Lecture slides:

  • Text Summarization
  • MEAD
  • Sentence Extraction Methods in MEAD
  • Re-rankers
  • MEAD Graphical User Interface
  • Some Experience with Summarizing IMF Staff Reports using MEAD
  • IMF Staff Reports
  • Summary Evaluation Methods Used
  • Experiment 1: IDF Dictionary
  • Four IDF Dictionaries
  • Results
  • Experiment 2: Random method
  • Experiment 2: Overlap
  • Experiment 2: LSA
  • Experiment 3: Re-ranker
  • Experiment 3: Overlap
  • Experiment 3: LSA
  • Experiment 4: Paragraph lead-based
  • Experiment 4: Overlap
  • Summary of the Results and Insights
  • How to Improve the MEAD Outputs?

Author: Shuhua Liu, Åbo Akademi University

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Tags: Science, Lectures, Computer Science, Machine Learning, VideoLectures.Net, Text Mining