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Iterative residual rescaling

Published: 01 September 2001 Publication History

Abstract

We consider the problem of creating document representations in which inter-document similarity measurements correspond to semantic similarity. We first present a novelsubspace-basedframework for formalizing this task. Using this framework, we derive a new analysis ofLatent Semantic Indexing(LSI), showing a precise relationship between its performance and theuniformityof the underlying distribution of documents over topics. This analysis helps explain the improvements gained by Ando's (2000)Iterative Residual Rescaling(\ours) algorithm: \ours\ can compensate for distributional non-uniformity. A further benefit of our framework is that it provides a well-motivated, effective method for automatically determining the rescaling factor \ours\ depends on, leading to further improvements. A series of experiments over various settings and with several evaluation metrics validates our claims.

References

[1]
R.K.Ando.Latent semantic space:Iterative scaling improves inter-document similarity measurement.In Proceedings of the 23rd SIGIR pages 216 -223,2000.
[2]
R.K.Ando.The Document Representation Problem: An Analysis of LSI and Iterative Residual Rescaling PhD thesis,Cornell University,2001.Forthcoming.
[3]
Y.Azar,A.Fiat,A.Karlin,F.McSherry,and J.Saia. Spectral analysis of data.In Proceedings of the ACM Symposium on Theory of Computing (STOC),2001.
[4]
B.T.Bartell,G.W.Cottrell,and R.K.Belew.Latent Semantic Indexing is an optimal special case of Multidimensional Scaling.In Proceedings of the 15th SIGIR pages 161 -167,1992.
[5]
M.W.Berry,S.T.Dumais,andG.W.O 'Brien. Using linear algebra for intelligent information retrieval.SIAM Review 37(4):573 -595,1995.
[6]
B.Boguraev and M.Ne .Discourse segmentation in aid of document summarization.In Proceedings of the Hawaii International Conference on System Sciences 2000.
[7]
J.Carletta.Assessing agreement on classi .cation tasks:The kappa statistic.Computational Linguistics 22(2):249 -254,1996.
[8]
C.Davis and W.M.Kahan.The rotation of eigenvectors y a perturbation.III.SIAM Journal on Numerical Analysis 7(1):1 -46,March 1970.
[9]
S.Deerwester,S.Dumais,G.Furnas,T.Landauer, and R.Harshman.Indexing y Latent Semantic Analysis.Journal of the American Society for Information Science 41(6):391 -407,1990.
[10]
C.H.Ding.A similarity-ased probability model for Latent Semantic Indexing.In Proceedings of the 22nd SIGIR pages 58 -65,1999.
[11]
S.T.Dumais.Improving the retrieval of information from external sources.Behavior Research Methods, Instruments, & Computers 23(2):229 -236,1991.
[12]
S.T.Dumais and J.Nielsen.Automating the assignment of su mitted manuscripts to reviewers.In Proceedings of SIGIR '92 pages 233 -244,1992.
[13]
P.W.Foltz and S.T.Dumais.Personalized information delivery:An analysis of information .ltering methods.Communications of the ACM 35(12):51 -60,1992.
[14]
P.W.Foltz,W.Kintsch,and T.K.Landauer.The measurement of textual coherence with Latent Semantic Analysis.Discourse Processes 25(2-3):285 -307,1998.
[15]
G.H.Golu and C.F.Van Loan.Matrix Computations The Johns Hopkins University Press, third edition,1996.
[16]
C.H.Papadimitriou,P.Raghavan,H.Tamaki,and S.Vempala.Latent Semantic Indexing:A probabilistic analysis.Journal of Computer and System Sciences 61(2):217 -235,2000.
[17]
S.Siegel and N.J.Castellan,Jr.Nonparametric Statistics for the Behavioral Sciences McGraw Hill, second edition,1988.
[18]
N.Slonim and N.Tish y.Document clustering using word clusters via the information ottleneck method. In Proceedings of the 23rd SIGIR pp.208 -215,2000.
[19]
G.W.Stewart and J.Sun.Matrix Perturbation Theory Computer Science and Scienti .c Computing. Academic Press,San Diego,1990.
[20]
R.E.Story.An explanation of the e .ectiveness of Latent Semantic Indexing y means of a Bayesian regression model.Information Processing & Management 32(3):329 -344,1996.
[21]
M.B.W.Wolfe,M.E.Schreiner,B.Rehder, D.Laham,P.Foltz,W.Kintsch,and T.K.Landauer. Learning from text:Matching readers and text y Latent Semantic Analysis.Discourse Processes 25:309 -336,1998.
[22]
H.Zha,O.Marques,and H.D.Simon.Large-scale SVD and su space-ased methods for information retrieval.In Solving Irregularly Structured Problems in Paral l el, Proceedings of 5th International Symposium (IRREGULAR'98),num er 1457 in Lecture Notes in Computer Science,pages 29 -42.Springer-Verlag,1998.

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cover image ACM Conferences
SIGIR '01: Proceedings of the 24th annual international ACM SIGIR conference on Research and development in information retrieval
September 2001
454 pages
ISBN:1581133316
DOI:10.1145/383952
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 01 September 2001

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SIGIR '01 Paper Acceptance Rate 47 of 201 submissions, 23%;
Overall Acceptance Rate 792 of 3,983 submissions, 20%

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Cited By

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  • (2019)Document Representation using Extended Locality Preserving Indexing2019 IEEE 16th India Council International Conference (INDICON)10.1109/INDICON47234.2019.9030348(1-4)Online publication date: Dec-2019
  • (2016)Entity-Based Keyword Search in Web DocumentsTransactions on Computational Collective Intelligence XXI - Volume 963010.5555/3090176.3090178(21-49)Online publication date: 1-Jan-2016
  • (2016)Entity-Based Keyword Search in Web DocumentsTransactions on Computational Collective Intelligence XXI10.1007/978-3-662-49521-6_2(21-49)Online publication date: 2016
  • (2014)Studying the effects of conflicting tokenization on LSA dimension reduction2014 International Conference on Multimedia Computing and Systems (ICMCS)10.1109/ICMCS.2014.6911367(542-546)Online publication date: Apr-2014
  • (2014)Partial-update dimensionality reduction for accumulating co-occurrence eventsPattern Recognition Letters10.1016/j.patrec.2013.08.03236(62-73)Online publication date: 1-Jan-2014
  • (2014)SuMACC Project’s CorpusText, Speech and Dialogue10.1007/978-3-319-10816-2_4(29-36)Online publication date: 2014
  • (2013)Event detection from image hosting services by slightly-supervised multi-span context models2013 11th International Workshop on Content-Based Multimedia Indexing (CBMI)10.1109/CBMI.2013.6576563(103-107)Online publication date: Jun-2013
  • (2009)Update summarization based on novel topic distributionProceedings of the 9th ACM symposium on Document engineering10.1145/1600193.1600239(205-213)Online publication date: 16-Sep-2009
  • (2008)Augmenting the power of LSI in text retrievalData & Knowledge Engineering10.1016/j.datak.2007.10.00565:1(108-125)Online publication date: 1-Apr-2008
  • (2007)Principles of hash-based text retrievalProceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval10.1145/1277741.1277832(527-534)Online publication date: 23-Jul-2007
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