Query expansion using term relationships in language models for information retrieval.
Bai, Jing; Song, Dawei; Bruza, Peter; Nie, Jian-Yun; Cao, Guihong
Language Modeling (LM) has been successfully applied to Information Retrieval (IR). However, most of the existing LM approaches only rely on term occurrences in documents, queries and document collections. In traditional unigram based models, terms (or words) are usually considered to be independent. In some recent studies, dependence models have been proposed to incorporate term relationships into LM, so that links can be created between words in the same sentence, and term relationships (e.g. synonymy) can be used to expand the document model. In this study, we further extend this family of dependence models in the following two ways: (1) Term relationships are used to expand query model instead of document model, so that query expansion process can be naturally implemented; (2) We exploit more sophisticated inferential relationships extracted with Information Flow (IF). Information flow relationships are not simply pairwise term relationships as those used in previous studies, but are between a set of terms and another term. They allow for context-dependent query expansion. Our experiments conducted on TREC collections show that we can obtain large and significant improvements with our approach. This study shows that LM is an appropriate framework to implement effective query expansion.
|Start Date||Oct 31, 2005|
|Publication Date||Dec 31, 2005|
|Publisher||Association for Computing Machinery|
|Institution Citation||BAI, J., SONG, D., BRUZA, P., NIE, J.-Y. and CAO, G. 2005. Query expansion using term relationships in language models for information retrieval. In Proceedings of the 14th Association for Computing Machinery (ACM) international conference on information and knowledge management (CIKM'05), 31 October - 5 November 2005, Bremen, Germany. New York: ACM [online], pages 688-695. Available from: https://doi.org/10.1145/1099554.1099725|
|Keywords||Language model; Term relationships; Information flow; Query expansion|
BAI 2005 Query expansion using term
You might also like
Predicting emotional reaction in social networks.
Early fusion and query modification in their dual late fusion forms.
You have e-mail, what happens next?