DCU and ISI@INEX 2010: adhoc and data-centric tracks

Authors:
Debasis Ganguly;Johannes Leveling;Gareth J. F. Jones;Sauparna Palchowdhury;Sukomal Pal;Mandar Mitra
Affiliations:
CNGL, School of Computing, Dublin City University, Dublin, Ireland;CNGL, School of Computing, Dublin City University, Dublin, Ireland;CNGL, School of Computing, Dublin City University, Dublin, Ireland;CVPR Unit, Indian Statistical Institute, Kolkata, India;CVPR Unit, Indian Statistical Institute, Kolkata, India;CVPR Unit, Indian Statistical Institute, Kolkata, India
Venue:
INEX'10 Proceedings of the 9th international conference on Initiative for the evaluation of XML retrieval: comparative evaluation of focused retrieval
Year:
2010

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Abstract

We describe the participation of Dublin City University (DCU) and Indian Statistical Institute (ISI) in INEX 2010 for the Ad-hoc and Data Centric tracks. 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 articl node, is shown to outperform the baselines of LM and VSM scoring of XML elements; ii) the Expectation Maximization (EM) feedback in LM is shown to be the most effective on the domain specific 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 effectiveness.