Automatic text decomposition using text segments and text themes
Proceedings of the the seventh ACM conference on Hypertext
TOPIC ISLANDS—a wavelet-based text visualization system
Proceedings of the conference on Visualization '98
Structural Queries in Electronic Corpora
Multimedia Tools and Applications
Automatic Category Theme Identification and Hierarchy Generation for Chinese Text Categorization
Journal of Intelligent Information Systems
Improving robust domain independent summarization
TIPSTER '98 Proceedings of a workshop on held at Baltimore, Maryland: October 13-15, 1998
An algorithm for unsupervised topic discovery from broadcast news stories
HLT '02 Proceedings of the second international conference on Human Language Technology Research
Building systems to block pornography
IM'99 Proceedings of the 1999 international conference on Challenge of Image Retrieval
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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.