Document-classification system, method and software

Data processing: database and file management or data structures – Database design – Data structure types

Reexamination Certificate

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C707S793000

Reexamination Certificate

active

07065514

ABSTRACT:
Every year, professional classifiers at West Group manually classify over 350,000 headnotes, or abstracts of judicial opinions, across approximately 82,000 separate classes of the Key Number System. Although most headnotes are classified from the memory of the classifiers, a significant number are difficult and thus costly to classify manually. Accordingly, the inventors devised systems, methods, and software that facilitate manual classification of headnotes and documents generally and hard-to-classify headnotes particularly. One exemplary system provides a graphical user interface that concurrently displays an unclassified headnote, a ranked list of one or more candidate classes, a candidate class in combination with adjacent classes of the classification system, and at least one classified headnote that is associated with one of the candidate classes.

REFERENCES:
patent: 5157783 (1992-10-01), Anderson et al.
patent: 5265065 (1993-11-01), Turtle
patent: 5321833 (1994-06-01), Chang et al.
patent: 5418948 (1995-05-01), Turtle
patent: 5434932 (1995-07-01), Scott
patent: 5488725 (1996-01-01), Turtle et al.
patent: 5497317 (1996-03-01), Hawkins et al.
patent: 5644720 (1997-07-01), Boll et al.
patent: 5708825 (1998-01-01), Sotomayor
patent: 5794236 (1998-08-01), Mehrle
patent: 5815392 (1998-09-01), Bennett et al.
patent: 5940821 (1999-08-01), Wical
patent: 6038560 (2000-03-01), Wical
patent: 6088692 (2000-07-01), Driscoll
patent: 6289342 (2001-09-01), Lawrence et al.
patent: 2002/0103836 (2002-08-01), Fein et al.
Aha, David W., “Instance-based Learning Algorithms”,Machine Learning, 6, (1991),37-66.
Callan, James P., “The Inquery Retrieval System”,In Proceedings of the Third International Conference on Database and Expert Systems Applications, Valencia, Spain; Springer-Verlag,(1992),78-83.
Cohen, W. and H. Hirsh, “Joints that generalize: Text classification using Whirl”,In Proceedings of the Fourth International Conference on Knowledge Discovery and Data Mining (KDD-98), New York, NY, AAAI Press,(1998),169-173.
Cohen, W. and Y. Singer, “Context-sensitive Learning Methods for Text Caterogization”,In Proceedings of the Nineteenth Annual International ACM SIGIR conference on Research and Development in Information Retrieval, Zurich, Switzerland,(1996).
Creecy, Robert H., “Trading MIPS and memory for knowledge engineering: Classifying census returns on the connection machine”,Communication of the ACM, 35, (Jul. 1992),48-63.
Dasarathy, B V., “Nearest Neighbor (NN) Norms: NN Pattern Classification Techniques”,IEEE Computer Society Press, (1990).
Hayes, P. and S. Weinstein, “CONSTRUE/TIS: a system for content-based indexing of a database of news stories”,In Second Annual Conference on Innovative Applications of Artificial Intelligence, (1990).
Larkey, L.S. and W. B. Croft, “Combining Classifiers in Text Categorization”,Proceedings, 19th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, Zurich, Switzerland,(1996),289-297.
Lewis, David D., “Feature Selection and Feature Extraction for Text Categorization”,In Proceedings of Speech and Natural Language Wrokshop, Arden House,(1992),212-217.
Masand, Brij, “Classifying News Stories using Memeory Based Reasoning”,Proceedings of the Fifteenth Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, Copenhagen, Denmark,(1992),59-65.
Porter, M. F., “An Algorithm for Suffix Stripping”,Program, 14(3)(Jul. 1980),130-137.
Salton, Gerard,Automatic Text Processing, Addision-Wesley Publishing Company, Reading, MA,(1989),229-470.
Standfill, C. and D. Waltz, “Toward Memory-Based Reasoning”,Communications of the ACM, 29(12), (1986),1213-1228.
Turtle, Howard R., “Inference Networks for Document Retrieval”,PhD Thesis, Computer and Information Science Department, University of Massachusetts,(Oct. 1991).
Yang, Yiming, “Expert Network: Effective and efficient learning form human decisions in tex categorization and retrieval”,In Proceedings of the Seventeenth Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, (1994),13-22.

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