Paper Info
Title
Analyzing web text association to disambiguate abbreviation in queries
Abstract
We introduce a statistical model for abbreviation disambiguation in Web search, based on analysis of Web data resources, including anchor text, click log and query log. By combining evidence from multiple sources, we are able to accurately disambiguate the abbreviation in queries. Experiments on real Web search queries show promising results.
Year
DOI
Venue
2008
10.1145/1390334.1390485
SIGIR
Keywords
Field
DocType
web search,web data resource,statistical model,anchor text,query log,analyzing web text association,abbreviation disambiguation,real web search query,multiple source,query expansion
Data mining,Web search query,Query expansion,Information retrieval,Data resources,Computer science,Web query classification,Anchor text,Statistical model
Conference
Citations 
PageRank 
References 
11
0.85
6
Authors
3
Name
Order
Citations
PageRank
Xing Wei1114160.87
Fuchun Peng2137885.75
Benoit Dumoulin3603.99