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- editor_ss:"schwerpunktinitiative "digitale information" der alliant der deutschen wissenschaftsorganisationen" 2
- editor_ss:"schwerpunktinitiative "digitale information" der allianz der deutschen wissenschaftsorganisation" 2
- editor_ss:"schwerpunktinitiativen "digitale information" der allianz der deutschen wissenschaftsorganisationen" 2
- editor_ss:"schwerpunktinitiative "digitale information" der alliance der deutschen wissenschaftsorganisationen" 2
- editor_ss:"schwerpunktinitiativen "digitale information" der alliant der deutschen wissenschaftsorganisationen" 2
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Vechtomova, O.; Karamuftuoglu, M.: Lexical cohesion and term proximity in document ranking (2008)
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- Abstract
- We demonstrate effective new methods of document ranking based on lexical cohesive relationships between query terms. The proposed methods rely solely on the lexical relationships between original query terms, and do not involve query expansion or relevance feedback. Two types of lexical cohesive relationship information between query terms are used in document ranking: short-distance collocation relationship between query terms, and long-distance relationship, determined by the collocation of query terms with other words. The methods are evaluated on TREC corpora, and show improvements over baseline systems.
- Source
- Information processing and management. 44(2008) no.4, S.1485-1502
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Vechtomova, O.; Karamuftuoglu, M.: Elicitation and use of relevance feedback information (2006)
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- Source
- Information processing and management. 42(2006) no.1, S.191-206