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  • Automatic Text Summarization

Relation

Extractive Text Summarization

Extractive methods select important sentences as the summary, which is more accurate and faithful.

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Updated 2026-05-02

Contributors are:

AM
Anju Manoj
🏆 2

Who are from:

SJ
San Jose State University
🏆 2

References


  • A Survey on Dialogue Summarization: Recent Advances and New Frontiers

Tags

Data Science

Related
  • Evaluation Metric for Dialogue Summarization Tasks

  • Abstractive Text Summarization

  • Extractive Text Summarization

  • A language model is tasked with summarizing the following text:

    Original Text: 'The company's quarterly report, released Tuesday, showed a 15% increase in revenue, driven primarily by strong sales in the European market. However, profits were down 5% due to rising operational costs and a one-time expenditure on new factory equipment. The CEO stated that while the profit dip is a concern, the strong revenue growth is a positive indicator for the future.'

    The model produces two different sum

  • Choosing a Summarization Strategy for a Legal Tech Company

  • Examples of Constrained Prompts for Text Summarization

  • Match each automatic text summarization approach with the description of its core mechanism and primary trade-offs.

  • Analyzing Summarization Techniques

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