首页> 外文期刊>International Journal of Computer Processing of Oriental Languages >Text Summarization Based on Sentence Clustering with Rhetorical Structure Information
【24h】

Text Summarization Based on Sentence Clustering with Rhetorical Structure Information

机译:带有修辞结构信息的句子聚类文本摘要。

获取原文
获取原文并翻译 | 示例
       

摘要

We propose a text summarization approach that clusters text units before extracting summary sentences. Text units are formed by combining sentences based on rhetorical structure information. The rhetorical structure information we use is the one immediately recognizable at the surface level, making this approach language independent as much as possible. Experiments conducted with both Korean and English text collections show that the approach improves the quality of summarization.
机译:我们提出了一种文本摘要方法,该方法在提取摘要语句之前先对文本单元进行聚类。通过根据修辞结构信息组合句子来形成文本单元。我们使用的修辞结构信息是表面上可以立即识别的信息,这使得此方法语言尽可能独立。对韩文和英文文本集进行的实验表明,该方法提高了摘要的质量。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号