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Applying probabilistic term weighting to OCR text in the case of a large alphabetic library catalogue
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Source Annual ACM Conference on Research and Development in Information Retrieval archive
Proceedings of the 18th annual international ACM SIGIR conference on Research and development in information retrieval table of contents
Seattle, Washington, United States
Pages: 328 - 335  
Year of Publication: 1995
ISBN:0-89791-714-6
Authors
Elke Mittendorf  Swiss Federal Institute of Technology (ETH), CH-8092 Zurich, Switzerland
Peter Schäuble  Swiss Federal Institute of Technology (ETH), CH-8092 Zurich, Switzerland
Páraic Sheridan  Swiss Federal Institute of Technology (ETH), CH-8092 Zurich, Switzerland
Sponsors
BCS-ISRG : BCS-ISRG
CEPIS : Council of European Professional Informatics Societies
AICA : Assoc Italianai de Calcolo Automatico
BCS-IRSG : BCS/Information Retrieval Specialist Group
German Comp Soc : GI - Gesellshaft for Informatik
IPSJ : Information Processing Society of Japan
SIGIR: ACM Special Interest Group on Information Retrieval
DD :
Publisher
ACM  New York, NY, USA
Bibliometrics
Downloads (6 Weeks): 8,   Downloads (12 Months): 24,   Citation Count: 8
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REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
Bayer, 1993
Bayer, R. (1993). OMNIS/Myriad Elektronische Verwaltung und Publikation yon Multimedialen Dokumenten. In Inyormatik, Wirtscha}t und Gesellschaft, 23. G{- Jahrestagung, pp. 482-487.
 
Dahl et al., 1993
Dahl, D. A., Norton, L. M., & Taylor, S. L. (1993). Improving OCR Accuracy With Linguistic Knowledge . In Symposium on Document Analysis and Information Retrieval, pp. 169-177.
 
Feller, 1968
Feller, W. (1968). An Introduction to Probability Theory and Its Applications. John Wiley ~c Sons, New York, third edition.
Glavitsch et al., 1994
 
Hosmer & Lemeshow, 1989
Hosmer, D. W., ~c Lemeshow, S. (1989). Applied Logistic Regression. John Wiley & Sons, New York.
 
Knaus & Schäuble, 1993
Knaus, D., & Sch~uble, P. (1993). Effective and Efficient Retrieval from Large and Dynamic Document Collections. In TREC-2 Proceedings, pp. 163-170.
 
Rice, 1988
Rice, J. A. (1988). Mathematical Statistics and Data Analysis. Wadsworth & Brooks, Pacific Grove, CA.
 
Rice et al., 1994
Rice, S. V., Kanai, J., & Nartker, T. A. (1994). The Third Annual Test of OCR Systems. In Grover, K. O., editor, UNLV InJormation Science Research Institute, 199~ Annual Report, pp. 11-40. information Science Research Institute, University of Nevada, Las Vegas.
 
Salton & Buckley, 1988
 
Smith & Stanfill, 1988
Smith, S., & Stanfill, C,. (1988). An Analysis of the Effects of Data Corruption on Text Retrieval Performance. Thinking Machines Corporation, Cambridge, MA.
 
Taghva et al., 1994a
Taghva, K., Borsack, J., Bullard, B., & Condit, A. (1994a). Post-Editing through Approximation and Global Correction. Int. Journal of Pattern recognition and Artificial Intelligence.
 
Taghva et al., 1994b
Taghva, K., Borsack, J., $~ Condit, A. (1994b). An Expert System for Automatically Correcting OCR Output. In ISfJT/SPIE 199.~, International Symposium on Electronic Imaging Science and Technology.
 
Taghva et al., 1994c


Collaborative Colleagues:
Elke Mittendorf: colleagues
Peter Schäuble: colleagues
Páraic Sheridan: colleagues