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Please use this identifier to cite or link to this item: http://hdl.handle.net/1813/6224
Title: Automatic Text Theme Generation and the Analysis of Text Structure
Authors: Salton, Gerard
Singhal, Amit
Keywords: computer science
technical report
Issue Date: Jul-1994
Publisher: Cornell University
Citation: http://techreports.library.cornell.edu:8081/Dienst/UI/1.0/Display/cul.cs/TR94-1438
Abstract: Non-expository texts are not usually read from cover to cover. Readers are helped in such circumstances by providing selective access to text excerpts as needed. Text themes can be identified representing areas of importance in a text, and summaries can be constructed automatically. In this study, text theme generation and text summarization are related to text struture. It is shown that useful text derivatives are obtainable for texts with diverse structural characteristics.
URI: http://hdl.handle.net/1813/6224
Appears in Collections:Computer Science Technical Reports

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