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On the application of syntactic methodologies in automatic text analysis
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Source Annual ACM Conference on Research and Development in Information Retrieval archive
Proceedings of the 12th annual international ACM SIGIR conference on Research and development in information retrieval table of contents
Cambridge, Massachusetts, United States
Pages: 137 - 150  
Year of Publication: 1989
ISBN:0-89791-321-3
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Authors
G. Salton  Department of Computer Science, Cornell University, Ithaca, NY
M. Smith  Department of Computer Science, Cornell University, Ithaca, NY
Sponsor
SIGIR: ACM Special Interest Group on Information Retrieval
Publisher
ACM  New York, NY, USA
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Downloads (6 Weeks): 7,   Downloads (12 Months): 44,   Citation Count: 14
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ABSTRACT

This study summarizes various linguistic approaches proposed for document analysis in information retrieval environments. Included are standard syntactic methods to generate complex content identifiers, and the use of semantic know-how obtained from machine-readable dictionaries and from specially constructed knowledge bases. A particular syntactic analysis methodology is also outlined and its usefulness for the automatic construction of book indexes is examined.


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.

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K. S parck Jones and J.I. Tait, Automatic Search Term Variant Generation, Journal of Documentation, 40:1, March 1984, 50-66.
 
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M. Mauldin, J. Carbonell and R. Thomason, Beyond the Keyword Barrier: Knowledge-Based Information Retrieval, Proc. 29th Annual Conference of National Federation of Abstracting and Information Services, Elsevier Press, 1987.
 
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U. Hahn and U. Reimer, lnformationslinguistische Konzepte der Volltextverarbeitung in TOPIC (Linguistic information concepts in the full text information processing system TOPIC), Report TOPIC 2/82, University of Konstanz, Germany, November 1982.
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G. Salton, Automatic Tex Processing, Addison- Wesley Publishing Co., Reading, MA, 1989, Chapter 5.
 
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G.E. Heidorn, K. Jensen, L.A. Miller, F.J. Byrd and M.S. Chodorow, The EPISTLE Text Critiquing System, IBM Systems Journal, 21:3, 1982, 305-326.
 
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J. Kaye, Back-of-the Book Indexing Project, Term Report CS490, Department of Computer Science, Comell University, Ithaca, NY, Spring 1988.

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