MIRACLE at Ad-Hoc CLEF 2005: Merging and Combining Without Using a Single Approach

  • José M. Goñi-Menoyo
  • José C. González-Cristóbal
  • Julio Villena-Román
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4022)


This paper presents the 2005 Miracle’s team approach to the Ad-Hoc Information Retrieval tasks. The goal for the experiments this year was twofold: to continue testing the effect of combination approaches on information retrieval tasks, and improving our basic processing and indexing tools, adapting them to new languages with strange encoding schemes. The starting point was a set of basic components: stemming, transforming, filtering, proper nouns extraction, paragraph extraction, and pseudo-relevance feedback. Some of these basic components were used in different combinations and order of application for document indexing and for query processing. Second-order combinations were also tested, by averaging or selective combination of the documents retrieved by different approaches for a particular query. In the multilingual track, we concentrated our work on the merging process of the results of monolingual runs to get the overall multilingual result, relying on available translations. In both cross-lingual tracks, we have used available translation resources, and in some cases we have used a combination approach.


Query Processing Relevance Measure Proper Noun Language Pair Document Indexing 
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 2006

Authors and Affiliations

  • José M. Goñi-Menoyo
    • 1
  • José C. González-Cristóbal
    • 1
    • 3
  • Julio Villena-Román
    • 2
    • 3
  1. 1.Universidad Politécnica de Madrid 
  2. 2.Universidad Carlos III de Madrid 
  3. 3.DAEDALUS – Data, Decisions and Language, S.A. 

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