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QUT Para at TREC 2012 Web Track: Word Associations for Retrieving Web Documents
QUEENSLAND UNIV OF TECHNOLOGY BRISBANE (AUSTRALIA)
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Many existing information retrieval models do not explicitly take into account information about word associations. Our approach makes use of first and second order relationships found in natural language, known as syntagmatic and paradigmatic associations, 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 significant improvements in MAP 0.158 and P at 20 0.396 over our baseline model. The ERR at 20 and nDCG at 20 of our system was 0.249 and 0.192 respectively. Our results and discussion suggest that information about both syntagamtic and paradigmatic associations can assist with improving retrieval effectiveness on ad hoc retrieval.
APPROVED FOR PUBLIC RELEASE