The Effects of OCR Error on the Extraction of Private Information-Reference-Cited by-同舟云学术

The Effects of OCR Error on the Extraction of Private Information

Published:2006 Issue: Volume: Page:348-357
ISSN:0302-9743
Container-title:Document Analysis Systems VII
language:
Short-container-title:

Author:

Taghva Kazem,Beckley Russell,Coombs Jeffrey

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/11669487_31.pdf

Reference18 articles.

1. U.S. Government. The freedom of information act 5 U.S.C. sec. 552 as amended in 2002 (Viewed June 30 2004), http://www.usdoj.gov/oip/foia_updates/Vol_XVII_4/page2.htm

2. U.S. Government. Frequently occurring first names and surnames from the 1990 census (Viewed August, 2005), http://www.census.gov/genealogy/www/freqnames.html

3. Lecture Notes in Computer Science;R. Grishman,1997

4. Jing, H., Lopresti, D., Shih, C.: Summarizing noisy documents. In: Proceedings of SDIUT 2003, Greenbelt, MD, April 2003, pp. 111–119 (2003)

5. McCallum, A.: Bow: A toolkit for statistical language modeling, text retrieval, classification and clustering (1996), http://www.cs.cmu.edu/~mccallum/bow

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