节点文献
基于关系图的篇章分析方法
APPROACHES FOR TEXT ANALYSIS BASED ON RELATION MAPS
【摘要】 本文在简要介绍篇章的向量空间模型表示的基础上,讨论了基于段间相似度和关系图进行篇章分析的方法,包括:结构分析,主题分析和聚类,浏览与跳段阅读.最后讨论所存在的主要问题及进一步改进的意见.
【Abstract】 The vector space model (VSM) of text in arbitrary subject area is outlined, and text relation maps among paragraphs are obtained by similarity analysis. Based on the relation maps, several approaches for text analysis are described, which include structure analysis, theme analysis and chustering, theme browsing and text traversal. At last, some of the main problems are discussed and further improvements are suggested.
【关键词】 向量空间模型;
信息检索;
篇章理解;
自然语言处理;
【Key words】 Vector Space Model; Information Retrieval; Text Understanding; Natural Language Processing;
【Key words】 Vector Space Model; Information Retrieval; Text Understanding; Natural Language Processing;
【基金】 国家高技术863-306主题;国家自然科学基金
- 【文献出处】 模式识别与人工智能 ,Pattern Recognition and Artificial Intelligence , 编辑部邮箱 ,1997年02期
- 【分类号】TP391.4
- 【被引频次】11
- 【下载频次】141