Combination of Features for Vietnamese News Multi-document Summarization

Van-Giau Ung, An-Vinh Lương, Nhi-Thao Tran, Minh-Quoc Nghiem
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引用次数: 7

Abstract

The aim of multi-document summarization is to produce an abridged version which contains important information from a set of documents on the same topic. This paper describes an approach that incorporates a set of features at word and sentence level to extract important sentences from input documents for Vietnamese news multi-document summarization system. Then, the summaries are evaluated automatically by using the ROUGE measure. The obtained result indicates that this approach produces good summaries and is appropriate for Vietnamese as well as languages limited linguistic resources.
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越南语新闻多文档摘要的特征组合
多文件摘要的目的是产生一个节略版本,其中包含关于同一主题的一组文件的重要信息。本文描述了一种从越南语新闻多文档摘要系统的输入文档中提取重要句子的方法。然后,使用ROUGE度量自动评估摘要。所获得的结果表明,这种方法产生了很好的摘要,适用于越南语以及语言资源有限的语言。
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