Automatic Text Summarization
Automatic Text Summarization
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DOI：
10.1007/978-981-16-0100-2_11
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发表时间：
2021
期刊：
影响因子：
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通讯作者：
Chengqing Zong;Rui Xia;Jiajun Zhang
中科院分区：
文献类型：
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作者：
Chengqing Zong;Rui Xia;Jiajun Zhang
随着互联网的迅速普及和信息的过度膨胀，迫切需要一种文本压缩技术来为读者提取浓缩的信息。自动文本摘要，又称文档摘要，是一种自动将文档（或文档集合）转换为简短摘要的信息压缩技术。本章首先介绍了文本自动摘要的主要任务，然后详细介绍了单文档和多文档自动摘要技术的不同实现方法。然后，我们介绍了基于查询的摘要和跨语言和多语言的摘要。最后，介绍了自动文本摘要的评价方法。
With the rapid popularization of the Internet and the overexpansion of information, it is an urgent need for a text compression technology to extract condensed information for readers. Automatic text summarization, also known as document summarization, is such an information compression technology that automatically converts document (or a collection of documents) into a short summary. This chapter first introduces the main tasks in automatic text summarization, and then details different approaches to automatic summarization technology for single-document and multidocument summarization. After that, we introduce query-based summarization and crosslingual and multilingual summarization. Finally, we introduce the evaluation methods for automatic text summarization.