Unitn Eprints Research (Università Degli Studi di Trento) · 2008 · 16 citations · 6 references
Open access
ComputingComputer ScienceData MiningInformation RetrievalKnowledge RepresentationEntity-relationship ModelingEvaluation Of Retrieval SystemsNamed Entity RecognitionRetrieval ModelsEntity RetrievalEntity TypesFeature-based RepresentationRanking Models
In this document we present the results of an experiment that investigates how people represents different types of entities (Entity Identification Experiment). Using a feature-listing task paradigm we collected data from 358 participants. We propose two models (semantic relevance model and semantic relevance ranked-based model) to analyze the data.
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