Statistical phrases for vector-space information retrieval (poster abstract)

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Statistical phrases for vector-space information retrieval (poster abstract)

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Annual ACM Conference on Research and Development in Information Retrieval archive
Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval table of contents

Berkeley, California, United States

Pages: 309 - 310

Year of Publication: 1999

ISBN:1-58113-096-1

Authors

Andrew Turpin	Department of Computer Science and Software Engineering, The University of Melbourne, Parkville, Victoria 3052, Australia
Alistair Moffat	Department of Computer Science and Software Engineering, The University of Melbourne, Parkville, Victoria 3052, Australia

Sponsor

SIGIR: ACM Special Interest Group on Information Retrieval

Publisher

ACM New York, NY, USA

Bibliometrics

Downloads (6 Weeks): 5, Downloads (12 Months): 36, Citation Count: 3

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	Owen de Kretser , Alistair Moffat, Effective document presentation with a locality-based similarity heuristic, Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval, p.113-120, August 15-19, 1999, Berkeley, California, United States [doi>10.1145/312624.312664]
	2	Joel L. Fagan, The effectiveness of a nonsyntatic approach to automatic phrase indexing for document retrieval, Journal of the American Society for Information Science, v.40 n.2, p.115-132, March 1989 [doi>10.1002/(SICI)1097-4571(198903)40:2<115::AID-ASI6>3.0.CO;2-B]
	3	D. K. Harman. Overview of the first text retrieval conference. In D. K. Harman, editor, Proc. TREC Text Retrieval Conference, pages 1-20, Washington, November 1992. National Institute of Standards Special Publication 500-207.
	4	M. Mitra, C. Buckley, A. Singhal, and C. Cardie. An analysis of statistical and syntactic phrases. In Proceedings of RIAO97, Computer-Assisted Information Searching on the internet, pages 200-214, Montreal, Canada, June 1997.
	5	C. Buckley. trec_eval program, March 1999. Available from ftp. cs. cornell, edu/pub / smart.
	6	G. Salton, C. S. Yaag, and C. T. Yu. A theory of term importance in automatic text analysis. Journal of the American Society .for information Science, 26(1):33-44, 1975.
	7	Amit Singhal , Chris Buckley , Mandar Mitra, Pivoted document length normalization, Proceedings of the 19th annual international ACM SIGIR conference on Research and development in information retrieval, p.21-29, August 18-22, 1996, Zurich, Switzerland [doi>10.1145/243199.243206]
	8	A. F. Smeaton and F. Kelledy. User-chosen phrases in interactive query formulation for information retrieval. In Proceedings of the 20th BCS-IRSG Colloquium, Springer-Verlag Electronic Workshops in Computing, Grenoble, France, April 1998.
	9	Justin Zobel , Alistair Moffat, Exploring the similarity space, ACM SIGIR Forum, v.32 n.1, p.18-34, Spring 1998 [doi>10.1145/281250.281256]

CITED BY 3

	Abdur Chowdhury , Ophir Frieder , David Grossman , Catherine McCabe, Analyses of multiple-evidence combinations for retrieval strategies, Proceedings of the 24th annual international ACM SIGIR conference on Research and development in information retrieval, p.394-395, September 2001, New Orleans, Louisiana, United States
	Seong-Bae Park , Byoung-Tak Zhang, Co-trained support vector machines for large scale unstructured document classification using unlabeled data and syntactic information, Information Processing and Management: an International Journal, v.40 n.3, p.421-439, January 2004
	Fuchun Peng , Dale Schuurmans , Shaojun Wang, Augmenting Naive Bayes Classifiers with Statistical Language Models, Information Retrieval, v.7 n.3-4, p.317-345, September-December 2004

INDEX TERMS

Primary Classification:
H. Information Systems
H.3 INFORMATION STORAGE AND RETRIEVAL

Additional Classification:
G. Mathematics of Computing

H. Information Systems
H.2 DATABASE MANAGEMENT
H.2.4 Systems
Subjects: Query processing

General Terms:
Design, Management, Measurement, Performance, Theory

Collaborative Colleagues:

Andrew Turpin: colleagues

Alistair Moffat: colleagues

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