多文本源信息融合的通用理论第一步:跨文档结构

Dragomir R. Radev
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引用次数: 241

摘要

我们介绍了CST(跨文档结构理论),一个多文档分析的范例。CST考虑了相关语篇簇的修辞结构。我们提出了跨文档关系的分类。我们认为,CST可以作为多文档摘要的基础,根据用户对摘要长度、信息来源、跨源协议和事实的时间顺序的偏好进行指导。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Common Theory of Information Fusion from Multiple Text Sources Step One: Cross-Document Structure
We introduce CST (cross-document structure theory), a paradigm for multi-document analysis. CST takes into account the rhetorical structure of clusters of related textual documents. We present a taxonomy of cross-document relationships. We argue that CST can be the basis for multi-document summarization guided by user preferences for summary length, information provenance, cross-source agreement, and chronological ordering of facts.
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