Extraction of information from documents

Details Extraction of information from documents Extraction of information from documents

2005-07-29

2008-12-23

Lewis, Cheryl (Department: 2167)

Data processing: database and file management or data structures

Database design

Data structure types

C707S793000

Reexamination Certificate

active

07469251

ABSTRACT:
An information extraction model is trained on format features identified within labeled training documents. Information from a document is extracted by assigning labels to units based on format features of the units within the document. A begin label and end label are identified and the information is extracted between the begin label and the end label. The extracted information can be used in various document processing tasks such as ranking.

REFERENCES:
patent: 6189002 (2001-02-01), Roitblat
patent: 6651057 (2003-11-01), Jin et al.
patent: 7062485 (2006-06-01), Jin et al.
patent: 2006/0224605 (2006-10-01), Marcy et al.
Y. Li, H. Zaragoza, R. Herbrich, J. Shawe-Taylor, & J. Kandola. The Perceptron Algorithm with Uneven Margin. In Proceedings of the Nineteenth International Conference on Machine Learning, pp. 379-386, 2002.
S. Robertson, H. Zaragoza, and M. Taylor, Simple BM25 Extension to Multiple Weighted Fields, In Proceedings of ACM Thirteenth Conference on Information and Knowledge Management, CIKM 2004.

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