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DCU and ISI@INEX 2010: Ad-hoc and data-centric tracks

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We describe the participation of Dublin City University (DCU)and the Indian Statistical Institute (ISI) in INEX 2010. The main contributions of this paper are: i) a simplified version of Hierarchical Language Model (HLM) which involves scoring XML elements with a combined probability of generating the given query from itself and the top level article node, is shown to outperform the baselines of Language Model (LM) and Vector Space Model (VSM) scoring of XML elements; ii) the Expectation Maximization (EM) feedback in LM is shown to be the most effective on the domain specic collection of IMDB; iii) automated removal of sentences indicating aspects of irrelevance from the narratives
of INEX ad-hoc topics is shown to improve retrieval eectiveness.

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Related: http://doras.dcu.ie/16418/1/DCU_and_ISI%40INEX_2010_Ad-hoc_and_Data-Centric_trac...
Suggested citation:

. () DCU and ISI@INEX 2010: Ad-hoc and data-centric tracks [Online]. Available from: http://publichealthwell.ie/node/643342 [Accessed: 16th September 2019].

  

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