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Multi-document Summarization for E-Learning

机译:用于电子学习的多文档摘要

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摘要

As a large amount of learning materials available in e-learning, automatic summarization has been utilized in digital library for e-learning. Multi-document summarization extracts information from multiple texts documents. It improves the effectiveness of retrieval and accessibility of learning materials in e-learning. Related study has shown that hierarchical summarization is a promising technique. Hierarchical summarization has been extended to summarization of multiple documents. This paper investigates the impact of organization of documents on hierarchical summarization. Automatic document clustering technique is developed for organization of learning materials. A multi-document hierarchical summarization system is developed based on these techniques. The system provides an essential tool for e-learning.
机译:作为电子学习中可用的大量学习材料,自动摘要已在数字图书馆中用于电子学习。多文档摘要从多个文本文档中提取信息。它提高了电子学习中检索和访问学习资料的效率。相关研究表明,层次汇总是一种很有前途的技术。分层汇总已扩展到多个文档的汇总。本文研究了文档组织对层次总结的影响。开发了自动文档聚类技术来组织学习材料。基于这些技术,开发了一个多文档的分层摘要系统。该系统提供了用于电子学习的基本工具。

著录项

  • 来源
    《Hybrid learning and education》|2009年|P.353-364|共12页
  • 会议地点 Macau(CN);Macau(CN)
  • 作者单位

    Department of Computer Science, City University of Hong Kong Tat Chee Avenue, Kowloon Tong, Kowloon, Hong Kong;

    Caritas Francis Hsu College,2-16 Caine Road, Central, Hong Kong;

    Department of Computer Science, City University of Hong Kong Tat Chee Avenue, Kowloon Tong, Kowloon, Hong Kong;

  • 会议组织
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 计算技术、计算机技术;
  • 关键词

  • 入库时间 2022-08-26 14:00:23

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