ACL RD-TEC 1.0 Summarization of N06-1052
Paper Title:
LANGUAGE MODEL INFORMATION RETRIEVAL WITH DOCUMENT EXPANSION
LANGUAGE MODEL INFORMATION RETRIEVAL WITH DOCUMENT EXPANSION
Authors: Tao Tao and Xuanhui Wang and Qiaozhu Mei and ChengXiang Zhai
Primarily assigned technology terms:
- algorithm
- clustering
- clustering smoothing
- clustering-based smoothing
- data augmentation
- dirichlet smoothing
- document expansion
- document smoothing
- estimator
- indexing
- information retrieval
- language modeling
- language modeling approach
- likelihood estimate
- likelihood estimator
- maximum likelihood
- maximum likelihood estimator
- model estimation
- modeling
- preprocessing
- query expansion
- query language
- retrieval method
- sampling
- scoring
- smoothing
- smoothing method
- smoothing techniques
- tuning
- vector space model
- vector space retrieval
Other assigned terms:
- approach
- case
- cluster
- cluster-based language model
- clusters
- concept
- cosine similarity
- data set
- data sets
- distribution
- document
- document language model
- document length
- document model
- document sets
- empirical results
- estimation
- expansion technique
- generative model
- generative models
- hypothesis
- interpolation
- language model
- language models
- likelihood
- maximum likelihood estimate
- mean average precision
- method
- normal distribution
- performance comparison
- precision
- probability
- process
- queries
- query
- query model
- retrieval model
- retrieval performance
- similarity scores
- statistics
- technique
- term
- terms
- text
- text collection
- transformation
- trec data
- unigram
- vector space
- vocabulary
- wilcoxon test
- word
- word distribution
- words
- z-score
