Data processing: database and file management or data structures – Database and file access – Preparing data for information retrieval
Reexamination Certificate
2006-05-04
2010-11-09
Trujillo, James (Department: 2159)
Data processing: database and file management or data structures
Database and file access
Preparing data for information retrieval
C707S772000, C707S917000, C715S254000
Reexamination Certificate
active
07831597
ABSTRACT:
A text summarizer identifies relevant terms in a document, weights the terms and extracts one or more segments to produce a summary or abstract. The various terms in a particular are weighted in relation to an existing document collection. A term weight computer computes term weights for terms in the document, and a threshold comparator compares the term weights to determine if the corresponding terms are relevant to the document collection. Next, a term weight summer adds the term weights for each occurrence of each relevant term in the various segments of the document, and a summation comparator compares the summations to identify a text summarization segment representative of the document. Optionally, relevant terms can be highlighted in the term summarization segment.
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Hovy et al, “Automated Text Summarization and the Summarist System”, Annual Meeting of the ACL, Prooceedings of a workshop on held at Baltimore, Maryland, Oct. 13-14, 1998, Session: Text Summarization, pp. 197-214, 1998, Association for Computational Linguistics.
Cranfill Robert E.
Ferng William
Kao Anne S-W
Poteet Stephen R.
Wu Yuan-Jye
Somers Marc
The Boeing Company
Trujillo James
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