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- W409295046 abstract "Methods to help efficiently digest and use information have become an important research area in resolving information overload. While automatic text summarization research demonstrates significant efforts in this regard, the processes are complex and results have poorer quality than those created manually by experts. The generated summary tends to be rigid as the systems are designed for specific domains and applications. Our Automatic Table of Content Developer system, based on the Probability of Co-occurrence Analysis (POCA) technique, creates outputs that are content dependent, and yet the system can adapt to all document domains. We thus propose the resultant table-of-contents (TOC) display as an alternative to help users digest a large document collection using less time and effort." @default.
- W409295046 created "2016-06-24" @default.
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- W409295046 date "2002-01-01" @default.
- W409295046 modified "2023-09-23" @default.
- W409295046 title "SUMMARIZING SEARCH RESULTS WITH AUTOMATICTABLES OF CONTENTS" @default.
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