Quantum-Like Uncertain Conditionals for Text Analysis

  • Alvaro Francisco Huertas-Rosero
  • C. J. van Rijsbergen
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7052)


Simple representations of documents based on the occurrences of terms are ubiquitous in areas like Information Retrieval, and also frequent in Natural Language Processing. In this work we propose a logical-probabilistic approach to the analysis of natural language text based in the concept of Uncertain Conditional, on top of a formulation of lexical measurements inspired in the theoretical concept of ideal quantum measurements. The proposed concept can be used for generating topic-specific representations of text, aiming to match in a simple way the perception of a user with a pre-established idea of what the usage of terms in the text should be. A simple example is developed with two versions of a text in two languages, showing how regularities in the use of terms are detected and easily represented.


Information Retrieval Order Relation Quantum Logic Belief Revision Orthomodular Lattice 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Alvaro Francisco Huertas-Rosero
    • 1
  • C. J. van Rijsbergen
    • 2
  1. 1.University of GlasgowUK
  2. 2.University of CambridgeUK

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