Noun phrases in interactive query expansion and document ranking

被引：5
|
作者：
Vechtomova, Olga [1 ]
机构：
[1] Univ Waterloo, Fac Engn, Dept Management Sci, Waterloo, ON N2L 3G1, Canada
来源：
INFORMATION RETRIEVAL | 2006年 / 9卷 / 04期
关键词：
interactive query expansion; noun phrases; document ranking;
D O I：
10.1007/s10791-006-6390-8
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
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.
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页码：399 / 420
页数：22
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