Topic specific language models built from large numbers of...

Data processing: database and file management or data structures – Database and file access – Preparing data for information retrieval

Reexamination Certificate

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C704S004000, C704S231000, C707S748000

Reexamination Certificate

active

07739286

ABSTRACT:
Forming and/or improving a language model based on data from a large collection of documents, such as web data. The collection of documents is queried using queries that are formed from the language model. The language model is subsequently improved using the information thus obtained. The improvement is used to improve the query. As data is received from the collection of documents, it is compared to a rejection model, that models what rejected documents typically look like. Any document that meets the test is then rejected. The documents that remain are characterized to determine whether they add information to the language model, whether they are relevant, and whether they should be independently rejected. Rejected documents are used to update the rejection model; accepted documents are used to update the language model. Each iteration improves the language model, and the documents may be analyzed again using the improved language model.

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