Inferring a semantic representation of text via cross-language correlation analysis

Advances in Neural Information Processing Systems

Volumn , Issue , 2003, Pages

  Vinokourov, Alexei ^a   Shawe Taylor, John ^a   Cristianini, Nello ^b  

^a UNIVERSITY OF LONDON   (United Kingdom)

^b UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

LINGUISTICS; SELF ORGANIZING MAPS;

CORRELATION ANALYSIS; CROSS-LINGUAL SETTINGS; HIGH DIMENSIONAL SPACES; KERNEL CANONICAL CORRELATION ANALYSIS; SEMANTIC INFORMATION; SEMANTIC REPRESENTATION; SEMANTIC SIMILARITY; STATISTICAL PATTERN;

SEMANTICS;

EID: 84873588359     PISSN: 10495258     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (6)

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2. Nello Cristianini and John Shawe-Taylor. An introduction to Support Vector Machines and other kernel-based learning methods. Cambridge University Press, 2000.
3. Ulrich Germann. Aligned Hansards of the 36th Parliament of Canada. http://www.isi.edu/natural-language/download/hansard/, 2001. Release 2001-1a.
4. light - Support Vector Machine. http://svmlight.joachims.org, 2002.
5. M. L. Littman, S. T. Dumais, and T. K. Landauer. Automatic cross-language information retrieval using latent semantic indexing. In G. Grefenstette, editor, Cross language information retrieval. Kluwer, 1998.
6. Alexei Vinokourov and Mark Girolami. A probabilistic framework for the hierarchic organisation and classification of document collections. Journal of Intelligent Information Systems, 18(2/3): 153-172, 2002. Special Issue on Automated Text Categorization.