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This chapter presents the fundamentals of automatic summarization technology, covering common algorithms such as keyword-based, topic-oriented, and Chinese document summarization. It highlights efficiency improvements, extraction techniques for high- and low-frequency words, and methods to reduce sentence redundancy. The chapter concludes with a practical application example, demonstrating the use of NLPIR-ICTCLAS for automatic summarization in real-world scenarios.

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Automatic Summarization

  • 章节

  • 发表日期：

    2025年

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  • Huaping Zhang,
  • Jianyun Shang

摘要

This chapter presents the fundamentals of automatic summarization technology, covering common algorithms such as keyword-based, topic-oriented, and Chinese document summarization. It highlights efficiency improvements, extraction techniques for high- and low-frequency words, and methods to reduce sentence redundancy. The chapter concludes with a practical application example, demonstrating the use of NLPIR-ICTCLAS for automatic summarization in real-world scenarios.