JCSE, vol. 6, no. 2, pp.161-167, 2012

DOI: http://dx.doi.org/10.5626/JCSE.2012.6.2.161

Automatic Suggestion for PubMed Query Reformulation

Luu Anh Tuan, Jung-jae Kim
School of Computer Engineering, Nanyang Technological University, Singapore

Abstract: Query reformulation is an interactive process of revising user queries according to the query results. To assist biomedical researchers in this process, we present novel methods for automatically generating query reformulation suggestions. While previous work on query reformulation focused on addition of words to user queries, our method can deal with three types of query reformulation (i.e., addition, removal and replacement). The accuracy of the method for the addition type is ten times better than PubMed

Keyword: PubMed; Query reformulation; Statistical approach; Query suggestion

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