Query Expansion based on Word Graph using Term Proximity


The KIPS Transactions:PartB , Vol. 19, No. 1, pp. 37-42, Feb. 2012
10.3745/KIPSTB.2012.19.1.37,   PDF Download:

Abstract

The pseudo relevance feedback suggests that frequent words at the top documents are related to initial query. However, the main drawback associated with the term frequency method is the fact that it relies on feature independence, and disregards any dependencies that may exist between words in the text. In this paper, we propose query expansion based on word graph using term proximity. It supplements term frequency method. On TREC WT10g test collection, experimental results in MAP(Mean Average Precision) show that the proposed method achieved 6.4% improvement over language model.


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Cite this article
[IEEE Style]
K. H. Jang and K. S. Lee, "Query Expansion based on Word Graph using Term Proximity," The KIPS Transactions:PartB , vol. 19, no. 1, pp. 37-42, 2012. DOI: 10.3745/KIPSTB.2012.19.1.37.

[ACM Style]
Kye Hun Jang and Kyung Soon Lee. 2012. Query Expansion based on Word Graph using Term Proximity. The KIPS Transactions:PartB , 19, 1, (2012), 37-42. DOI: 10.3745/KIPSTB.2012.19.1.37.