Using IR techniques for text classification in document analysis

Proceedings of the 17th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 1994

Volumn , Issue , 1994, Pages 31-40

  Hoch, Rainer ^a  

^a GERMAN RESEARCH CENTER FOR ARTIFICIAL INTELLIGENCE DFKI   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

EXTRACTION; INFORMATION RETRIEVAL; INFORMATION RETRIEVAL SYSTEMS; SEARCH ENGINES; TEXT PROCESSING;

DOCUMENT ANALYSIS; DOCUMENT STRUCTURE; EXTRACTION OF INFORMATION; INDEXING TERMS; IR TECHNIQUES; KNOWLEDGE SOURCES; TEXT CLASSIFICATION; WORD FREQUENCIES;

CLASSIFICATION (OF INFORMATION);

EID: 84957890250     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/978-1-4471-2099-5_4     Document Type: Conference Paper

References (27)

1. D. E. Appelt, J. R. Hobbs, J. Bear, D. Israel, M. Tyson. FASTUS: A Finite-state Processor for Information Extraction from Real-world Text. Proc. of 13th International Conference on Artificial Intelligence (IJCAI'93), Chambéry, France, 28. Aug.-3. Sept. 1993, pp. 1172-1178.
2. T. Bayer, J. Franke, U. Kressel, E. Mandler, M. Oberländer, J. Schürmann. Towards the Understanding of Printed Documents. In: H. Baird, H. Bunke, K. Yamamoto (eds.), Structured Document Image Analysis, Springer-Verlag, 1992, pp. 3-35.
3. W. B. Croft. Retrieval from large text databases. Proc. of Symposium on Document Analysis and Information Retrieval, Las Vegas, Nevada, USA, 1992, pp. 96-101.
4. G. DeJong. An Overview of the FRUMP System. In: W. G. Lehnert, M. H. Ringle (eds.), Strategies for Natural Language Processing, Lawrence Erlbaum Assoc., Hillsdale, 1982, pp. 149-175.
5. A. Dengel, R. Bleisinger, R. Hoch, F. Fein, F. Hones. From Paper to Office Document Standard Representation. IEEE Computer, vol. 25, no. 7, 1992, pp. 63-67.
6. A. Dengel and R. Hoch. Intelligent Interfaces between Paper and Computer. In: A. H. Rubenstein, H. Schwärtzel (eds.), Lecture Notes, Springer-Verlag, Berlin Heidelberg New York, 1992, pp. 122-136.
7. R. Hoch, A. Dengel. INFOCLAS: Classifying the Message in Printed Business Letters. Proc. of 2nd Symposium on Document Analysis and Information Retrieval, Las Vegas, Nevada, USA, April 26-28, 1993, pp. 443-456.
8. W. Finkler, G. Neumann. MORPHIX-A Fast Realization of a Classification-Based Approach to Morphology. Proc. of 4. Österreichische Artificial Intelligence-Tagung, Springer-Verlag, Berlin, 1988, pp. 11-19.
9. E. A. Fox. Development of the CODER system: A testbed for artificial intelligence methods in information retrieval. Information Processing and Management, vol. 23, no. 4, 1987, pp. 341-366.
10. M. D. Harris. Introduction to Natural Language Processing. Reston Publishing Company Inc., Reston, Virginia, 1985.
11. P. J. Hayes, P. M. Andersen, I. B. Nirenburg, L. M. Schmandt. TCS: A Shell for Content-Based Text Categorization. Proc. of 6th Conference on AI Applications, Santa Barbara, CA, 1990, pp. 320-326.
12. J. J. Hull, Y. Li. Word Recognition Result Interpretation Using the Vector Space Model for Information Retrieval. Proc. of 2nd Symposium on Document Analysis and Information Retrieval, Las Vegas, Nevada, USA, April 26-28, 1993, pp. 147-155.
13. IEEE Computer Magazine. Special Issue on Document Image Analysis Systems, vol. 25, no. 7, July 1992.
14. ISO 8613. Information Processing, Text and Office Systems, Office Document Architecture and Interchange Format (ODAIODIF), parts 1-8, 1988.
15. ISO 9735. Electronic date interchange for administration, commerce and transport (EDIFACT), application level syntax rules, 1988.
16. P. S. Jacobs (ed.). Text-Based Intelligent Systems-Current Research and Practice in Information Retrieval. Lawrence Erlbaum Associates, Publishers, Hillsdale, New Jersey, 1992.
17. K. E. Lochbaum, L. A. Streeter. Comparing and Combining the Effectiveness of Latent Semantic Indexing and the Ordinary Vector Space Model for Information Retrieval. Information Processing and Management, vol. 25, no. 6, 1989, pp. 665-676.
18. B. Masand, G. Linoff, D. Waltz. Classifying News Stories using Memory Based Reasoning. Proc. of 15th Annual International Conference on Research and Development in Information Retrieval (SIGIR'92), 1992, pp. 59-65.
19. M. L. Mauldin. Retrieval Performance in FERRET-A Conceptual Information Retrieval System. Proc. of 14th Annual International ACMISIGIR Conference on Research and Development in Information Retrieval, 1991, pp. 347-355.
20. L. F. Rau, P. S. Jacobs. Integrating top-down and bottom-up strategies in a text processing system. Proc. of Second Conference on Applied NLP, Austin, Texas, 1988, pp. 129-135.
21. C. J. van Rijsbergen. Information Retrieval. Butterworths, London, 2nd edition, 1979.
22. G. Salton, M. J. McGill. Introduction to Modern Information Retrieval. McGraw-Hill, Inc., 1983.
23. G. Salton. Developments in Automatic Text Retrieval. Science, vol. 253, August 1991, pp. 974-980.
24. G. Salton, C. Buckley. Global Text Matching for Information Retrieval. Science, vol. 253, 1991, pp. 1012-1015.
25. K. Sparck Jones. Automatic indexing. Journal of Documentation, 30, 1974, pp. 393-432.
26. K. Taghva, J. Borsack, A. Condit, S. Erva. The Effects of Noisy Data on Text Retrieval. Technical Report 93-06, Information Science Research Institute, University of Nevada, Las Vegas, March 1993, pp. 71-81.
27. P. Willett. An Algorithm for the Calculation of Exact Term Discrimination Values. Information Processing and Management, vol. 21, no. 3, 1985, pp. 225-232.