1989 · 11 citations · 8 references
EngineeringIntelligent Information RetrievalSemantic WebCorpus LinguisticsText MiningNatural Language ProcessingSyntaxLanguage DocumentationInformation RetrievalData ScienceDocument EngineeringDocument AnalysisComputational LinguisticsMarkup LanguageGrammarQuery ExpansionLanguage StudiesSyntactic AnalysisAutomatic IndexingKnowledge DiscoveryText IndexingComputer ScienceKeyword SearchDocument Retrieval SystemInitial Boolean QuerySignature FilesSearch Engine IndexingStructured DocumentLinguisticsDocument Processing
Our work involves the study of the extent to which natural language processing techniques aid the automatic indexing and retrieval of documents. In this paper we describe the use of signature files in large text retrieval systems. We show that good performance can be obtained without requiring the significant overheads required for the inverted file technique. We examine the use of syntactic analysis of the text in all stages of retrieval and argue that an initial Boolean query should be performed that provides a subset of documents, which are then ranked. We then give an algorithm for generating such queries, taking into account the syntactic structure of the queries.
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