Now showing items 1-2 of 2

  • Learning and optimization of an aspect hidden Markov model for query language model generation. 

    Huang, Qiang; Song, Dawei; Roger, Stefan; Bruza, Peter D. (Infota (Foundation for Information Society, Budapest), 2007-10)
    HUANG, Q., SONG, D., RUGER, S. and BRUZA, P. D., 2007. Learning and optimization of an aspect hidden Markov model for query language model generation. In: S. DOMINICH and F. KISS, eds. Proceedings of the 1st International Conference on the Theory of Information Retrieval (ICTIR 2007). 18-20 October 2007. Budapest, Hungary: Infota. Pp. 157-164.
    The Relevance Model (RM) incorporates pseudo relevance feedback to derive query language model and has shown a good performance. Generally, it is based on uni-gram models of individual feedback documents from which query ...
  • Two-part segmentation of text documents. 

    Deepak, P.; Visweswariah, Karthik; Wiratunga, Nirmalie; Sani, Sadiq (ACM http://dx.doi.org/10.1145/2396761.2396862, 2012-10-29)
    DEEPAK, P., VISWESWARIAH, K., WIRATUNGA, N. and SANI, S. 2012. Two-part segmentation of text documents. In Proceedings of the 21st ACM international conference on information and knowledge management, 29 October - 02 November 2012, Maui, USA. New York: ACM [online], pages 793-802. Available from: https://dx.doi.org/10.1145/2396761.2396862
    We consider the problem of segmenting text documents that have a two-part structure such as a problem part and a solution part. Documents of this genre include incident reports that typically involve description of events ...