The constituent object parser: syntactic structure matching for information retrieval

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The constituent object parser: syntactic structure matching for information retrieval

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ACM SIGIR Forum archive
Volume 23 , Issue SI (June 1989) table of contents
Special issue: Proceedings of the 12th annual international ACMSIGIR conference on Research and development in information retrieval, N.J. Belkin and C.J. van Rijsbergen (Eds.), June 25-28, 1989, Cambridge, MA.

Pages: 117 - 126

Year of Publication: 1989

ISSN:0163-5840

Also published in ...

Authors

D. P. Metzler	Department of Information Science, University of Pittsburgh
S. W. Haas	Department of Information Science, University of Pittsburgh

Publisher

ACM New York, NY, USA

Bibliometrics

Downloads (6 Weeks): 5, Downloads (12 Months): 22, Citation Count: 4

Additional Information:

references cited by index terms collaborative colleagues peer to peer

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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.

	1	Clark, I-I. & Clark, E. (1977). Psychology and Language. New York: Harcourt Brace Jovanovich, Inc.
	2	Frazier, L. & Fodor, J. D. (1978). The sausage machine: A new two-stage parsing model. Cognition, 6, 291-325.
	3	GazAar, G., Klein, E., PuUum, G. & Sag, I. (1985). Generalized Phrase Structure Grammar. Oxford: Basil Blaekwell.
	4	Glass, A., Holyoak, K. & Santa, J. (1979). Cognition. Reading, Massachusetts: Addison-Wesley.
	5	Karen Jensen , Jean-Louis Binot, Disambiguating prepositional phrase attachments by using on-line dictionary definitions, Computational Linguistics, v.13 n.3-4, July-December 1987
	6	Karen Jensen , George E. Heidorn, The fitted parse: 100% parsing capability in a syntactic grammar of English, Proceedings of the first conference on Applied natural language processing, February 01-03, 1983, Santa Monica, California [doi>10.3115/974194.974212]
	7	Kaplan, R. & Bresnan, J. (1982). Lexical-Functional Grammar: A formal system for grammatical representation. In J. Bresnan (Ed.). The Mental Representation of Grammatical Relations. Cambridge: The MIT Press.
	8	Metzler, D., Haas, S., Cosic, C. & Weise, C. (1988). Conjunction, Ellipsis and Other Discontinuous Constituents in the Constituent Object Parser (Tech. Rept.). The University of Pittsburgh, Department of Information Science.
	9	Metzler, D., Haas, S., Cosic, C. & Wheeler, L. (in press). Constituent Object Parsing for Information Retrieval and Similar Text Processing Problems. Journal of the American Society for Information Science.
	10	Moulton, J. & Robinson, G. (1981). The Organization of Language. Cambridge: Cambridge University Press.
	11	Salton, G. (1988). On the Use of Syntactic Procedures for the Content Analysis of Natural Language Texts. Paper presented at the American Society for information Science Mid-Year Meeting, Detroit.
	12	Gerard Salton , Michael J. McGill, Introduction to Modern Information Retrieval, McGraw-Hill, Inc., New York, NY, 1986
	13	Sells, P. (1985) Lectures on Conte#rary Syntactic Theories. Stanford: Center for the Study of Language and Information.
	14	Sparck Jones, K. & Tail, J. (1984). Automatic search term variant generation. Journal of Documentation, 40, 1, 50-66.
	15	van Riemsdijk, H. & Williams, E. (1986). Introduction to the Theory of Granmzar. Cambridge: The MIT Press.

CITED BY 4

	Tokunaga Takenobu , Kimura Kenji , Ogibayashi Hironori , Tanaka Hozumi, Selecting effective index terms using a decision tree, Natural Language Engineering, v.8 n.3, p.193-207, June 2002
	Benoít Habert , Elie Naulleau , Adeline Nazarenko, Symbolic word clustering for medium-size corpora, Proceedings of the 16th conference on Computational linguistics, August 05-09, 1996, Copenhagen, Denmark
	Yasushi Ogawa , Ayako Bessho , Masako Hirose, Simple word strings as compound keywords: an indexing and ranking method for Japanese texts, Proceedings of the 16th annual international ACM SIGIR conference on Research and development in information retrieval, p.227-236, June 27-July 01, 1993, Pittsburgh, Pennsylvania, United States
	Michael Hess, An incrementally extensible document retrieval system based on linguistic and logical principles, Proceedings of the 15th annual international ACM SIGIR conference on Research and development in information retrieval, p.190-197, June 21-24, 1992, Copenhagen, Denmark

INDEX TERMS

Primary Classification:
H. Information Systems
H.3 INFORMATION STORAGE AND RETRIEVAL
H.3.3 Information Search and Retrieval
Subjects: Retrieval models

Additional Classification:
F. Theory of Computation
F.4 MATHEMATICAL LOGIC AND FORMAL LANGUAGES
F.4.2 Grammars and Other Rewriting Systems
Subjects: Parsing

General Terms:
Design, Languages, Performance

Collaborative Colleagues:

D. P. Metzler: colleagues

S. W. Haas: colleagues

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This Article has also been published in:

Annual ACM Conference on Research and Development in Information Retrieval
Proceedings of the 12th annual international ACM SIGIR conference on Research and development in information retrieval

1989 , Cambridge, Massachusetts, United States

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