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SIGIR
2009
ACM
16 years 26 days ago
Extracting structured information from user queries with semi-supervised conditional random fields
When search is against structured documents, it is beneficial to extract information from user queries in a format that is consistent with the backend data structure. As one step...
Xiao Li, Ye-Yi Wang, Alex Acero
SIGIR
2006
ACM
16 years 9 days ago
Respect my authority!: HITS without hyperlinks, utilizing cluster-based language models
We present an approach to improving the precision of an initial document ranking wherein we utilize cluster information within a graph-based framework. The main idea is to perform...
Oren Kurland, Lillian Lee
SIGIR
2004
ACM
15 years 11 months ago
GaP: a factor model for discrete data
We present a probabilistic model for a document corpus that combines many of the desirable features of previous models. The model is called “GaP” for Gamma-Poisson, the distri...
John F. Canny
AIIA
2005
Springer
15 years 12 months ago
A Semantic Kernel to Exploit Linguistic Knowledge
Abstract. Improving accuracy in Information Retrieval tasks via semantic information is a complex problem characterized by three main aspects: the document representation model, th...
Roberto Basili, Marco Cammisa, Alessandro Moschitt...
WWW
2011
ACM
15 years 1 months ago
Query completion without query logs for song search
We describe a new method for query completion for Bollywood song search without using query logs. Since song titles in nonEnglish languages (Hindi in our case) are mostly present ...
Nitin Dua, Kanika Gupta, Monojit Choudhury, Kalika...