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Volumn , Issue , 2010, Pages 385-388

Finding your way in a multi-dimensional semantic space with luminoso

Author keywords

Common sense; N Dimensional visualization; Natural language processing; SVD

Indexed keywords

BACKGROUND INFORMATION; COMMON SENSE; DATA POINTS; DIMENSIONALITY REDUCTION TECHNIQUES; FUNDAMENTAL OPERATIONS; HUMAN MIND; NATURAL LANGUAGE PROCESSING; NATURAL LANGUAGE SEMANTICS; SEMANTIC SPACE; TEXT CORPORA; TEXT DOCUMENT;

EID: 77951101159     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1719970.1720037     Document Type: Conference Paper
Times cited : (12)

References (8)
  • 4
    • 0028714711 scopus 로고
    • Spiders: A new user interface for rotation and visualization of n-dimensional point sets
    • (Los Alamitos,) IEEE Computer Society Press
    • K. L. Duffin and W. A. Barrett. Spiders: A new user interface for rotation and visualization of n-dimensional point sets. In In Proceedings of the Conference on Visualization (Los Alamitos, pages 205-211. IEEE Computer Society Press, 1994.
    • (1994) Proceedings of the Conference on Visualization , pp. 205-211
    • Duffin, K.L.1    Barrett, W.A.2
  • 6
    • 84959049838 scopus 로고    scopus 로고
    • ConceptNet 3: A flexible, multilingual semantic network for common sense knowledge
    • Borovets, Bulgaria, September
    • C. Havasi, R. Speer, and J. Alonso. ConceptNet 3: a flexible, multilingual semantic network for common sense knowledge. In Recent Advances in Natural Language Processing, Borovets, Bulgaria, September 2007.
    • (2007) Recent Advances in Natural Language Processing
    • Havasi, C.1    Speer, R.2    Alonso, J.3
  • 8
    • 57749202011 scopus 로고    scopus 로고
    • Analogy Space Reducing the dimensionality of common sense knowledge
    • October
    • R. Speer, C. Havasi, and H. Lieberman. AnalogySpace: Reducing the dimensionality of common sense knowledge. Proceedings of AAAI 2008, October 2008.
    • (2008) Proceedings of AAAI 2008
    • Speer, R.1    Havasi, C.2    Lieberman, H.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.