Latent Semantic Analysis.

L'Analyse Semantique Latente est une approche statistique introduite pour ameliorer la recherche d'information. Elle consiste a reduire la dimensionalite du probleme de la recherche d'information pour surmonter les difficultes liees a la synonymie et la polysemie. Au-dela de ses applications en recherche d'information (filtrage, multilinguisme), elle a egalement ete utilisee en sciences cognitives pour la modelisation de la memoire humaine. Un certain nombre de developpements ont concerne les modeles probabilistes et les aspects computationnels.

[1]  M. E. Maron,et al.  On Relevance, Probabilistic Indexing and Information Retrieval , 1960, JACM.

[2]  Frank B. Baker,et al.  Information Retrieval Based upon Latent Class Analysis , 1962, JACM.

[3]  Harold Borko,et al.  Automatic Document Classification , 1963, JACM.

[4]  P G Ossorio,et al.  Classification Space: A Multivariate Procedure For Automatic? Document Indexing And Retrieval. , 1966, Multivariate behavioral research.

[5]  Karen Sparck Jones A statistical interpretation of term specificity and its application in retrieval , 1972 .

[6]  E. Garfield Citation analysis as a tool in journal evaluation. , 1972, Science.

[7]  Don R. Swanson,et al.  Probabilistic models for automatic indexing , 1974, J. Am. Soc. Inf. Sci..

[8]  Matthew B. Koll WEIRD: an approach to concept-based information retrieval , 1979, SIGF.

[9]  Pauline Atherton,et al.  An Analysis of Controlled Vocabulary and Free Text Search Statements in Online Searches , 1980 .

[10]  Elaine Svenonius Unanswered questions in the design of controlled vocabularies , 1986 .

[11]  Marcia J. Bates,et al.  Subject access in online catalogs: A design model , 1986 .

[12]  Vijay V. Raghavan,et al.  On modeling of information retrieval concepts in vector spaces , 1987, TODS.

[13]  Susan T. Dumais,et al.  The vocabulary problem in human-system communication , 1987, CACM.

[14]  S. T. Dumais,et al.  Using latent semantic analysis to improve access to textual information , 1988, CHI '88.

[15]  Susan T. Dumais,et al.  Using latent semantic analysis to improve information retrieval , 1988, CHI 1988.

[16]  W. Kintsch,et al.  Time course of priming for associate and inference words in a discourse context , 1988, Memory & cognition.

[17]  Marcia J. Bates,et al.  How to use controlled vocabularies more effectively in online searching , 1988 .

[18]  Lynn A. Streeter,et al.  Comparing and combining the effectiveness of latent semantic indexing and the ordinary vector space model for information retrieval , 1989, Inf. Process. Manag..

[19]  Don R. Swanson,et al.  Online search for logically-related noninteractive medical literatures: A systematic trial-and-error strategy , 1989, JASIS.

[20]  Lois Mai Chan,et al.  Inter-Indexer Consistency in Subject Cataloging. , 1989 .

[21]  T. Landauer,et al.  Indexing by Latent Semantic Analysis , 1990 .

[22]  John R. Anderson,et al.  Reflections of the Environment in Memory Form of the Memory Functions , 2022 .

[23]  Stephen I. Gallant A Practical Approach for Representing Context and for Performing Word Sense Disambiguation Using Neural Networks , 1991, Neural Computation.

[24]  Donna Harman,et al.  How effective is suffixing , 1991 .

[25]  M. Turk,et al.  Eigenfaces for Recognition , 1991, Journal of Cognitive Neuroscience.

[26]  Susan T. Dumais,et al.  Improving the retrieval of information from external sources , 1991 .

[27]  Jakob Nielsen,et al.  Automating the assignment of submitted manuscripts to reviewers , 1992, SIGIR '92.

[28]  Susan T. Dumais,et al.  Personalized information delivery: an analysis of information filtering methods , 1992, CACM.

[29]  E. B. Page Computer Grading of Student Prose, Using Modern Concepts and Software , 1994 .

[30]  Susan T. Dumais,et al.  Using Linear Algebra for Intelligent Information Retrieval , 1995, SIAM Rev..

[31]  Susan T. Dumais,et al.  Learned Vector-Space Models for Document Retrieval , 1995, Inf. Process. Manag..

[32]  Michael W. Berry,et al.  Using latent semantic indexing for multilanguage information retrieval , 1995, Comput. Humanit..

[33]  R. E. Story,et al.  An Explanation of the Effectiveness of Latent Semantic Indexing by Means of a Bayesian Regression Model , 1996, Inf. Process. Manag..

[34]  Padmini Srinivasan,et al.  Optimal Document-Indexing Vocabulary for MEDLINE , 1996, Inf. Process. Manag..

[35]  David A. Hull Stemming algorithms: a case study for detailed evaluation , 1996 .

[36]  Michael D. Gordon,et al.  Toward Discovery Support Systems: A Replication, Re-Examination, and Extension of Swanson's Work on Literature-Based Discovery of a Connection between Raynaud's and Fish Oil , 1996, J. Am. Soc. Inf. Sci..

[37]  Curt Burgess,et al.  Producing high-dimensional semantic spaces from lexical co-occurrence , 1996 .

[38]  Vannevar Bush,et al.  As we may think , 1945, INTR.

[39]  Yiming Yang,et al.  Translingual Information Retrieval: A Comparative Evaluation , 1997, IJCAI.

[40]  Michael L. Littman,et al.  Automatic 3-language cross-language information retrieval with LSA , 1997 .

[41]  S. Robertson The probability ranking principle in IR , 1997 .

[42]  T. Landauer,et al.  A Solution to Plato's Problem: The Latent Semantic Analysis Theory of Acquisition, Induction, and Representation of Knowledge. , 1997 .

[43]  Gerard Salton,et al.  Improving Retrieval Performance by Relevance Feedback , 1997 .

[44]  William R. Hersh,et al.  Mapping Vocabularies Using Latent Semantics , 1998 .

[45]  Susan T. Dumais,et al.  Using latent semantic indexing for literature based discovery , 1998 .

[46]  Hinrich Schütze,et al.  Automatic Word Sense Discrimination , 1998, Comput. Linguistics.

[47]  Michael W. Berry,et al.  Downdating the Latent Semantic Indexing Model for Conceptual Information Retrieval , 1998, Comput. J..

[48]  Santosh S. Vempala,et al.  Latent semantic indexing: a probabilistic analysis , 1998, PODS '98.

[49]  Peter W. Foltz,et al.  An introduction to latent semantic analysis , 1998 .

[50]  Fan Jiang,et al.  Learning a Language-Independent Representation for Terms from a Partially Aligned Corpus , 1998, ICML.

[51]  Douglas W. Oard,et al.  Evaluating Cross-Language Text Filtering Effectiveness , 1998 .

[52]  Peter W. Foltz,et al.  The Measurement of Textual Coherence with Latent Semantic Analysis. , 1998 .

[53]  Chaomei Chen,et al.  Visualising Semantic Spaces and Author Co-Citation Networks in Digital Libraries , 1999, Inf. Process. Manag..

[54]  Hongyuan Zha,et al.  On Updating Problems in Latent Semantic Indexing , 1997, SIAM J. Sci. Comput..

[55]  Elizabeth R. Jessup,et al.  Matrices, Vector Spaces, and Information Retrieval , 1999, SIAM Rev..

[56]  David Ellis,et al.  Inter-linker consistency in the manual construction of hypertext documents , 1999, CSUR.

[57]  Arthur C. Graesser,et al.  Using Latent Semantic Analysis to Evaluate the Contributions of Students in AutoTutor , 2000, Interact. Learn. Environ..

[58]  David A. Cohn,et al.  The Missing Link - A Probabilistic Model of Document Content and Hypertext Connectivity , 2000, NIPS.

[59]  Ian Witten,et al.  Data Mining , 2000 .

[60]  Matthew Richardson,et al.  The Intelligent surfer: Probabilistic Combination of Link and Content Information in PageRank , 2001, NIPS.

[61]  Lillian Lee,et al.  Iterative Residual Rescaling: An Analysis and Generalization of LSI , 2001, SIGIR 2002.

[62]  Ray J. Paul,et al.  Visualizing a Knowledge Domain's Intellectual Structure , 2001, Computer.

[63]  Dimitris Achlioptas,et al.  Fast computation of low rank matrix approximations , 2001, STOC '01.

[64]  Neil R. Smalheiser,et al.  Information discovery from complementary literatures: categorizing viruses as potential weapons , 2001 .

[65]  Peter D. Turney Mining the Web for Synonyms: PMI-IR versus LSA on TOEFL , 2001, ECML.

[66]  Paul Solomon,et al.  Discovering information in context , 2005, Annu. Rev. Inf. Sci. Technol..

[67]  Leon Flicker,et al.  Latent Semantic Analysis: A New Method to Measure Prose Recall , 2002, Journal of clinical and experimental neuropsychology.

[68]  Peter D. Turney Answering subcognitive Turing Test questions: a reply to French , 2002, ArXiv.

[69]  Susan T. Dumais,et al.  Data‐driven approaches to information access , 2003 .

[70]  Daniel Yarlett,et al.  Semantic grounding in models of analogy: an environmental approach , 2003 .

[71]  Karen Spärck Jones A statistical interpretation of term specificity and its application in retrieval , 2021, J. Documentation.