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The field of Automatic Text Summarization can be divided into the following fields:

• Extraction-based Summarization
• Abstract-Like Summarization
  • Deep Understanding and Generation
  • Hybrid Systems
  • Statistical Abstract Generation
    • Headline Generation

     

• Summarization Applications
• Speech Summarization

Extraction-based summarization simply extracts segments (phrases, sentences, paragraphs) of texts and presents these as a list to the user.  Abstract-like summarization attempts to construct something more coherent and readable.

General References:

    For a list of online slides and tutorials on summarization, see my Summarization - Related Sites page.

• Klaus Zechner, 1997. A Literature Survey on Information Extraction and Text Summarization. Term paper, Carnegie Mellon University.
• Karen Sparck Jones: Automatic summarising: factors and directions

see my other summarisation page

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