An association thesaurus for information retrieval

作者: Yufeng Jing , W Bruce Croft , None

DOI:

关键词: Natural languageComputer scienceProbabilistic inferenceConstruct (python library)Information retrievalAssociation (object-oriented programming)Thesaurus (information retrieval)Variety (linguistics)Artificial intelligenceNatural language processing

摘要: Although commonly used in both commercial and experimental information retrieval systems, thesauri have not demonstrated consistent benefits for performance, it is difficult to construct a thesaurus automatically large text databases. In this paper, an approach, called PhraseFinder, proposed collection-dependent association using full-text document collections. The can be accessed through natural language queries INQUERY, system based on the probabilistic inference network. Experiments are conducted INQUERY evaluate different types of thesauri, constructed variety

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