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A study of smoothing methods for language models applied to information retrieval
Chengxiang Zhai
, John Lafferty
Statistics
School of Information Sciences
Carl R. Woese Institute for Genomic Biology
Siebel School of Computing and Data Science
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Keyphrases
Smoothing Methods
100%
Information Retrieval
100%
Language Model
100%
Smoothing Parameter
66%
Retrieval Practice
66%
Model Estimation
33%
Verbose Queries
33%
Sensitivity Pattern
33%
Distinct Roles
16%
Popular
16%
Maximum Likelihood Estimator
16%
Optimal Performance
16%
Modeling Approach
16%
Speech Recognition
16%
Parameter Search
16%
Parameter Estimation Method
16%
Language Modeling
16%
Documentary Linguistics
16%
Keyword Query
16%
Query Types
16%
Language Model Smoothing
16%
Data Sparseness
16%
Computer Science
Information Retrieval
100%
Language Modeling
100%
retrieval performance
50%
Smoothing Parameter
50%
Experimental Result
12%
Parameter Estimation
12%
maximum-likelihood
12%
Speech Recognition
12%
Estimation Method
12%
Optimal Performance
12%
Application Area
12%