Noun phrases in interactive query expansion and document ranking

Authors:
Olga Vechtomova
Affiliations:
Department of Management Sciences, Faculty of Engineering, University of Waterloo, Canada
Venue:
Information Retrieval
Year:
2006

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Abstract

The paper presents several techniques for selecting noun phrases for interactive query expansion following pseudo-relevance feedback and a new phrase-based document ranking method. A combined syntactico-statistical method was used for the selection of phrases for query expansion. Several statistical measures of phrase selection were evaluated. Experiments were also conducted studying the effectiveness of noun phrases in document ranking. One of the major problems in phrase-based document retrieval is weighting of overlapping and non-contiguous word sequences in documents. The paper presents a new method of phrase weighting, which addressed this problem, and its evaluation on the TREC dataset.