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  • × author_ss:"Lalmas, M."
  1. Dominich, S.; Lalmas, M.; Rijsbergen, C.J.K. van: Special issue on model design, formulation and explanation in information retrieval using mathematics (2006) 0.05
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    Source
    Information processing and management. 42(2006) no.1, S.1-3
    Year
    2006
  2. Reid, J.; Lalmas, M.; Finesilver, K.; Hertzum, M.: Best entry points for structured document retrieval : part I: characteristics (2006) 0.03
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    Source
    Information processing and management. 42(2006) no.1, S.74-88
    Year
    2006
  3. Reid, J.; Lalmas, M.; Finesilver, K.; Hertzum, M.: Best entry points for structured document retrieval : part II: types, usage and effectiveness (2006) 0.03
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    Source
    Information processing and management. 42(2006) no.1, S.89-105
    Year
    2006
  4. Piwowarski, B.; Amini, M.R.; Lalmas, M.: On using a quantum physics formalism for multidocument summarization (2012) 0.01
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    Abstract
    Multidocument summarization (MDS) aims for each given query to extract compressed and relevant information with respect to the different query-related themes present in a set of documents. Many approaches operate in two steps. Themes are first identified from the set, and then a summary is formed by extracting salient sentences within the different documents of each of the identified themes. Among these approaches, latent semantic analysis (LSA) based approaches rely on spectral decomposition techniques to identify the themes. In this article, we propose a major extension of these techniques that relies on the quantum information access (QIA) framework. The latter is a framework developed for modeling information access based on the probabilistic formalism of quantum physics. The QIA framework not only points out the limitations of the current LSA-based approaches, but motivates a new principled criterium to tackle multidocument summarization that addresses these limitations. As a byproduct, it also provides a way to enhance the LSA-based approaches. Extensive experiments on the DUC 2005, 2006 and 2007 datasets show that the proposed approach consistently improves over both the LSA-based approaches and the systems that competed in the yearly DUC competitions. This demonstrates the potential impact of quantum-inspired approaches to information access in general, and of the QIA framework in particular.
  5. Crestani, F.; Dominich, S.; Lalmas, M.; Rijsbergen, C.J.K. van: Mathematical, logical, and formal methods in information retrieval : an introduction to the special issue (2003) 0.01
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    Date
    22. 3.2003 19:27:36