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Estimating Structural Relevance of XML Elements Through Language Model

Laitang, Cyril and Pinel-Sauvagnat, Karen and Boughanem, Mohand Estimating Structural Relevance of XML Elements Through Language Model. (2013) In: Open Areas in Information Retrieval - OAIR 2013, 22 May 2013 - 24 May 2013 (Lisbon, Portugal).

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Language modeling approaches have been extensively used as an effective way of measuring ad-hoc document content relevance. However, in structured information retrieval (SIR) there is to our knowledge no approach which aims at assessing structural relevance using language models. In this paper we present a language model based on document-query structure likelihood. As the effectiveness of language modeling relies on the associated smoothing technique we experimented two of these techniques. Experiments are conducted on the INEX 2010 Datacentric test set and show the interest of our method compared to official participants to the task.

Item Type:Conference or Workshop Item (Paper)
Additional Information:Thanks to ACM editor. The definitive version is available at http://dl.acm.org/citation.cfm?id=2491759
HAL Id:hal-04084469
Audience (conference):International conference proceedings
Uncontrolled Keywords:
Institution:Université de Toulouse > Institut National Polytechnique de Toulouse - Toulouse INP (FRANCE)
French research institutions > Centre National de la Recherche Scientifique - CNRS (FRANCE)
Université de Toulouse > Université Toulouse III - Paul Sabatier - UT3 (FRANCE)
Université de Toulouse > Université Toulouse - Jean Jaurès - UT2J (FRANCE)
Université de Toulouse > Université Toulouse 1 Capitole - UT1 (FRANCE)
Laboratory name:
Deposited On:20 Apr 2015 07:06

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