Publication | Closed Access
A statistical interpretation of term specificity and its application in retrieval
480
Citations
28
References
2004
Year
EngineeringIntelligent Information RetrievalSemanticsCorpus LinguisticsText MiningApplied LinguisticsNatural Language ProcessingInformation RetrievalComputational LinguisticsQuery ExpansionCorpus AnalysisLanguage StudiesContent AnalysisStatisticsRetrieval TechniqueStatistical InterpretationCognitive ScienceIndex TermsKnowledge DiscoveryTerminology ExtractionText IndexingKeyword SearchDistributional SemanticsDocument DescriptionsTest CollectionLinguisticsTerm Specificity
The exhaustivity of document descriptions and the specificity of index terms are usually regarded as independent. It is suggested that specificity should be interpreted statistically, as a function of term use rather than of term meaning. The effects on retrieval of variations in term specificity are examined, experiments with three test collections showing, in particular, that frequently‐occurring terms are required for good overall performance. It is argued that terms should be weighted according to collection frequency, so that matches on less frequent, more specific, terms are of greater value than matches on frequent terms. Results for the test collections show that considerable improvements in performance are obtained with this very simple procedure.
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