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We introduce CST (cross-document structure theory), a paradigm for multi-document analysis. CST takes into account the rhetorical structure of dusters 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 provenmace, cross-source agreement, and chronological ordering of facts.

This paper presents the design and implementation of a system to summarize e-mail messages. The system exploits two aspects of e-mail, thread reply chains and commonly-found features, to generate summaries. The system uses existing software designed to summarize single text documents. Such software typically performs best on well-authored, formal documents. E-mail messages, however, are typically neither well-authored, nor formal. As a result, existing summarization software gives a poor summary of e-mail messages. To remedy this poor performance, our system pre-processes email messages using heuristics to remove e-mail signatures, header fields, and quoted text from parent messages. We also present a heuristics-based approach to identifying and reporting names, dates, and companies found in e-mail messages. Lastly, we discuss conclusions from a pilot user study of the summarization system, and conclude with areas for further investigation.

Under consideration for other conferences (specify)? NO 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, crosssource agreement, and chronological ordering of facts. ACL-411