QUT Para at TREC 2012 Web Track : Word Associations for Retrieving Web Documents

Symonds, Mike, Zuccon, Guido, Koopman, Bevan, & Bruza, Peter (2012) QUT Para at TREC 2012 Web Track : Word Associations for Retrieving Web Documents. In 21st Text REtrieval Conference (TREC 2012), 6-9 November 2012, Gaithersburg, Md.

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Abstract

Many existing information retrieval models do not explicitly take into account in- formation about word associations. Our approach makes use of rst and second order relationships found in natural language, known as syntagmatic and paradigmatic associ- ations, respectively. This is achieved by using a formal model of word meaning within the query expansion process. On ad hoc retrieval, our approach achieves statistically sig- ni cant improvements in MAP (0.158) and P@20 (0.396) over our baseline model. The ERR@20 and nDCG@20 of our system was 0.249 and 0.192 respectively. Our results and discussion suggest that information about both syntagamtic and paradigmatic associa- tions can assist with improving retrieval eectiveness on ad hoc retrieval.

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ID Code: 54716
Item Type: Conference Paper
Refereed: No
Additional URLs:
Divisions: Current > Schools > School of Information Systems
Current > QUT Faculties and Divisions > Science & Engineering Faculty
Copyright Owner: Copyright 2012 [please consult the author]
Deposited On: 04 Dec 2013 01:08
Last Modified: 26 Apr 2014 22:10

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