Now showing items 1-2 of 2

  • Concept induction via fuzzy C-means clustering in a high dimensional semantic space. 

    Song, Dawei; Cao, Guihong; Bruza, Peter D.; Lau, Raymond Y. K. (Wiley., 2007)
    SONG, D., CAO, G., BRUZA, P.D. and LAU, R. Y. K., 2007. Concept induction via fuzzy C-means clustering in a high dimensional semantic space. In: J. VALENTE DE OLIVEIRA and W. PEDRYCZ, eds. Advances in fuzzy clustering and its applications. Chichester: Wiley. Pp. 393-403.
    Lexical semantic space models have recently been investigated to automatically derive the meaning (semantics) of information based on natural language usage. In a semantic space, a term can be considered as a concept ...
  • Query expansion using term relationships in language models for information retrieval. 

    Bai, Jing; Song, Dawei; Bruza, Peter D.; Nie, Jian-Yun; Cao, Guihong (ACM Press http://doi.acm.org/10.1145/1099554.1099725, 2005-11)
    BAI, J., SONG, D., BRUZA, P. D., NIE, J. Y. and CAO, G., 2005. Query expansion using term relationships in language models for information retrieval. In: A. CHOWDHURY, N. FUHR, M. RONTHALER, H.-J. SCHEK and W. TEIKEN, eds. Proceedings of the 14th ACM International Conference on Information and Knowledge Management. 31 October – 5 November 2005. New York : ACM Press. pp. 688-695.
    Language Modeling (LM) has been successfully applied to Information Retrieval (IR). However, most of the existing LM approaches only rely on term occurrences in documents, queries and document collections. In traditional ...