Literaturnachweis - Detailanzeige
Autor/inn/en | Caid, William R.; und weitere |
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Titel | Learned Vector-Space Models for Document Retrieval. |
Quelle | In: Information Processing & Management, 31 (1995) 3, S.419-29 |
Sprache | englisch |
Dokumenttyp | gedruckt; Zeitschriftenaufsatz |
ISSN | 0306-4573 |
Schlagwörter | Automatic Indexing; Computation; Conferences; Context Effect; Experiments; Feasibility Studies; Information Processing; Information Retrieval; Information Systems; Knowledge Representation; Models |
Abstract | The Latent Semantic Indexing and MatchPlus systems examine similar contexts in which words appear and create representational models that capture the similarity of meaning of terms and then use the representation for retrieval. Text Retrieval Conference experiments using these systems demonstrate the computational feasibility of using automatically derived term-to-term similarities. (Author/AEF) |
Erfasst von | ERIC (Education Resources Information Center), Washington, DC |