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» Querying Probabilistic Information Extraction
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78
Voted
LREC
2008
91views Education» more  LREC 2008»
15 years 2 months ago
Statistical Evaluation of Information Distillation Systems
We describe a methodology for evaluating the statistical performance of information distillation systems and apply it to a simple illustrative example. (An information distiller p...
J. V. White, D. Hunter, J. D. Goldstein
89
Voted
SIGIR
2010
ACM
15 years 25 days ago
Generalized syntactic and semantic models of query reformulation
We present a novel approach to query reformulation which combines syntactic and semantic information by means of generalized Levenshtein distance algorithms where the substitution...
Amac Herdagdelen, Massimiliano Ciaramita, Daniel M...
116
Voted
WWW
2009
ACM
16 years 1 months ago
Query clustering using click-through graph
In this paper we describe a problem of discovering query clusters from a click-through graph of web search logs. The graph consists of a set of web search queries, a set of pages ...
Jeonghee Yi, Farzin Maghoul
83
Voted
ICASSP
2008
IEEE
15 years 7 months ago
An iterative unsupervised learning method for information distillation
Information distillation techniques are used to analyze and interpret large volumes of speech and text archives in multiple languages and produce structured information of interes...
Kamand Kamangar, Dilek Hakkani-Tür, Gökh...
102
Voted
CIKM
2008
Springer
15 years 2 months ago
Active relevance feedback for difficult queries
Relevance feedback has been demonstrated to be an effective strategy for improving retrieval accuracy. The existing relevance feedback algorithms based on language models and vect...
Zuobing Xu, Ram Akella