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Computational Methods for Intelligent Information Access
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Source Conference on High Performance Networking and Computing archive
Proceedings of the 1995 ACM/IEEE conference on Supercomputing (CDROM) table of contents
San Diego, California, United States
Page: 20  
Year of Publication: 1995
ISBN:0-89791-816-9
Authors
Michael W. Berry  Department of Computer Science, University of Tennessee, Knoxville, TN
Susan T. Dumais  Information Science Research Group, Bellcore, 445 South Street, Room 2L-371, Morristown, NJ
Todd A. Letsche  Department of Computer Science, University of Tennessee, Knoxville, TN
Sponsors
IEEE-CS : Computer Society
SIGARCH: ACM Special Interest Group on Computer Architecture
Publisher
ACM  New York, NY, USA
Bibliometrics
Downloads (6 Weeks): 3,   Downloads (12 Months): 44,   Citation Count: 12
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references   cited by   collaborative colleagues  

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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.

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M. W. BERRY, Large scale singular value computations,International Journal of Supercomputer Applications, 6 (1992), pp. 13-49.
 
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S. DEERWESTER,S.DUMAIS,G.FURNAS,T.LANDAUER, AND R. HARSHMAN, Indexing by latent semantic analysis, Journal of the American Society for Information Science, 41 (1990), pp. 391-407.
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S. T. DUMAIS, Improving the retrieval of information from external sources, Behavior Research Methods, Instruments, & Computers, 23 (1991), pp. 229-236.
 
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, LSI meets TREC: A status report.,inTheFirstText REtrieval Conference (TREC1), D. Harman, ed., March 1993, pp. 137-152. National Institute of Standards and Technology Special Publication 500-207.
 
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__, Latent Semantic Indexing (LSI) and TREC-2.,inThe Second Text REtrieval Conference (TREC2), D. Harman, ed., March 1994, pp. 105-116. National Institute of Standards and Technology Special Publication 500-215.
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Stephen I. Gallant, A practical approach for representing context and for performing word sense disambiguation using neural networks, Neural Computation, v.3 n.3, p.293-309, Fall 1991
 
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G. GOLUB AND C. V. LOAN, Matrix Computations, Johns- Hopkins, Baltimore, second ed., 1989.
 
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G. GOLUB AND C. REINSCH, Handbook for automatic computation II, linear algebra, Springer-Verlag, New York, 1971.
 
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Y. KANE-ESRIG,L.STREETER,S.T.DUMAIS,W.KEESE, AND G. CASELLA, The relevance density method for multi-topic queries in information retrieval, in Proceedings of the 23rd Symposium on the Interface, E. Keramidas, ed., 1991, pp. 407- 410.
 
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K. KUKICH, A comparison of some novel and traditional lexical distance metrics for for spelling correction, in Proceedings of INNC-90-Paris, 1990, pp. 309-313.
 
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T. K. LANDAUER AND S. T. DUMAIS, Latent Semantic Analysis and the measurement of knowledge, in Proceedings of the First Educational Testing Service Conference on Applications of Natural Language Processing in Assessment and Education, 1994. To appear.
 
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T. K. LANDAUER AND M. L. LITTMAN, Fully automatic crosslanguage document retrieval using latent semantic indexing, in Proceedings of the Sixth Annual Conference of the UW Centre for the NewOxford English Dictionary and Text Research, UW Centre for the New OED and Text Research, Waterloo Ontario, 1990, pp. 31-38.
 
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L. MIRSKY, Symmetric gage functions and unitarilly invariant norms, Q. J. Math, 11 (1960), pp. 50-59.
 
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J. NIELSEN,V.L.PHILLIPS, AND S. T. DUMAIS, Retrieving imperfectly recognized handwritten notes, Behaviour and Information Technology, (1994). Submitted.
 
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G. SALTON AND C. BUCKLEY, Improving retrieval performance by relevance feedback, Journal of the American Society for Information Science, 41 (1990), pp. 288-297.
 
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P. G. YOUNG, Cross-Language Information Retrieval Using Latent Semantic Indexing, Master's thesis, The University of Knoxville, Tennessee, Knoxville, TN, 1994.

CITED BY  14
Collaborative Colleagues:
Michael W. Berry: colleagues
Susan T. Dumais: colleagues
Todd A. Letsche: colleagues