节点文献
基于概念扩充和综合评价的文本综述
Multi-document Automatic Summarization Based on Concept Expansion and Integration Evaluation
【摘要】 提出了基于知网概念特征的文本综述方法,探讨了语句相似度计算、主题区域发现、新颖度获取和综述生成等关键技术.通过对知网的改造,获取了关键词的概念特征,实现了同义词概念扩充,在文档语义相关性基础上,实现了多文档的自动综述.采用一种基于综合评价理论的文本综述评价方法,从综述的表达质量、表述内容和基于Q&A的信息性评价三个方面实现了对综述的评价.实验结果表明该方法有效可行.
【Abstract】 An approach of multi-document summarization based on How-net is presented.Several key techniques are deeply discussed including sentence similarity computation,topic information identification,topic novelty and summarization generation.On the basis of concept feature derived from improved How-net,the multi-document automatic summarization has been generated.The summarization evaluation method based on integration evaluation is also developed,and it gives a systematic evaluation about quality,content and information evaluation based on Q&A.The experiment results show that the method is effective.
【Key words】 sentence similarity; How-net; text clustering; novelty; linear weighted model;
- 【文献出处】 郑州大学学报(理学版) ,Journal of Zhengzhou University(Natural Science Edition) , 编辑部邮箱 ,2007年02期
- 【分类号】TP391.1
- 【被引频次】5
- 【下载频次】151