2003 LanguageModelingForInformationRetrieval

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Subject Headings: Statistical Language Model, Information Retrieval.


Cited By



A statistical language model, or more simple a language model, is a probabilistic mechanism for generating text. Such a definition is general enough to include an endless variety of schemes. However, a distinction should be made between generative models, which can in principle be used to synthesize artificial text, and discriminative techniques to classify text into predefined categories.

In the past several years a new framework for information retrieval has emerged that is based on statistical language modeling. The approach differs from traditional probabilistic approaches in interesting and subtle ways, and is fundamentally different from vector space methods. It is string that the language modeling approach to information retrieval was not proposed until the late 1990s; however, until recently the information retrieval and language modeling research communities were somewhat isolated.



 AuthorvolumeDate ValuetitletypejournaltitleUrldoinoteyear
2003 LanguageModelingForInformationRetrievalJohn D. Lafferty
W. Bruce Croft
Language Modeling for Information Retrievalhttp://portal.acm.org/citation.cfm?id=940438