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Application of semantic smoothing based on categorization to language model
Author(s): 
Pages: 289-293
Year: Issue:  3
Journal: JOURNAL OF CHENGDU UNIVERSITY OF INFORMATION TECHNOLOGY

Keyword:  text categorizationsemantic smoothinginformation retrieval;
Abstract: The smoothing in important in the language model information retrieval. It is used to adjust the estimated parameters of a language model. One of its functions is to avoid the zero probability to unseen terms. The traditional smoothing compensates the word probability with a background collection and cannot consider the contextual information. The new context-sensitive semantic smoothing method introduces the text categorization into the language model estimate to improve the IR performance.
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