| 摘要 |
A learning system learns terms in the context of a set of documents. During an accumulation phase, the learning system accumulates contextual data for a term in the form of a categorization schema. The categorization schema, which is based on a classification hierarchy, classifies the term in categories such that the classifications are based on uses of the terms in the set of documents During a computational phase, the learning system analyzes the categorization schema, and selects, if sufficient contextual data has been accumulated, a single category in the classification system to classify the term. A content processing system, which understands the thematic content of documents, is used in conjunction with the learning system.
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