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Experiences and Reflections on Text Summarization Tools

Shuhua Liu, Experiences and Reflections on Text Summarization Tools. International Journal of Computational Intelligence Systems 2(3), 202–218, 2009.

Abstract:

Text summarization is a process of distilling the most important content from text documents.
While human beings have proven to be extremely capable summarizers, computer based
automatic abstracting and summarizing has proven to be extremely challenging tasks. In this
paper we report our experience with applying extractive summarization techniques to
process news articles, economic reports and nursing narratives. We present analysis of the
effect of different summarization methods and parameters on the summarization results. We
also compare the performance of the summarizers across the three different document
genres. The learned lessons are discussed and the possibilities for applying the theory of
Computing with Words in text summarization are elaborated.

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BibTeX entry:

@ARTICLE{jLiu09a,
  title = {Experiences and Reflections on Text Summarization Tools},
  author = {Liu, Shuhua},
  journal = {International Journal of Computational Intelligence Systems},
  volume = {2},
  number = {3},
  pages = {202–218},
  year = {2009},
  keywords = {Text summarization, sentence extraction methods, summarization evaluation, computing with words},
}

Belongs to TUCS Research Unit(s): Other

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