Publication | Closed Access
Quary Expansion Using Local and Global Document Analysis
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Citations
12
References
2017
Year
EngineeringCorpus LinguisticsText MiningNatural Language ProcessingGlobal Document AnalysisInformation RetrievalData ScienceComputational LinguisticsRelevance FeedbackGlobal AnalysisQuery ExpansionLanguage StudiesContent AnalysisMachine TranslationKnowledge DiscoveryTerminology ExtractionCross-language RetrievalInformation ExtractionAutomatic Query ExpansionStructured DocumentLinguisticsInteractive Information Retrieval
Automatic query expansion has long been suggested as a technique for dealing with the fundamental issue of word mismatch in information retrieval. A number of approaches to expansion have been studied and, more recently, attention has focused on techniques that analyze the corpus to discover word relationship (global techniques) and those that analyze documents retrieved by the initial query ( local feedback). In this paper, we compare the effectiveness of these approaches and show that, although global analysis haa some advantages, local analysia is generally more effective. We also show that using global analysis techniques.
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