QUT_Para at TREC 2012 Web Track : word associations for retrieving web documents
Symonds, Michael, Zuccon, Guido, Koopman, Bevan, & Bruza, Peter D. (2013) QUT_Para at TREC 2012 Web Track : word associations for retrieving web documents. In NIST Special Publication 500-298 : The Twenty First Text Retrieval Conference Proceedings (TREC 2012), NIST, Gaithersburg, Maryland .
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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|Item Type:||Conference Paper|
|Keywords:||Information Retrieval, Word Associations, Paradigmatic, Syntagmatic, Tensor Encoding Model, Query Expansion, TREC 2012|
|Subjects:||Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > INFORMATION SYSTEMS (080600)
Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > OTHER INFORMATION AND COMPUTING SCIENCES (089900) > Information and Computing Sciences not elsewhere classified (089999)
|Divisions:||Current > Schools > School of Information Systems
Current > QUT Faculties and Divisions > Science & Engineering Faculty
|Copyright Owner:||Copyright 2013 please consult the authors|
|Deposited On:||13 Feb 2013 01:00|
|Last Modified:||07 Apr 2014 23:43|
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