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  • × author_ss:"Vechtomova, O."
  1. Vechtomova, O.; Karamuftuoglu, M.: Lexical cohesion and term proximity in document ranking (2008) 0.00
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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
  2. Vechtomova, O.; Karamuftuoglu, M.: Elicitation and use of relevance feedback information (2006) 0.00
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    Source
    Information processing and management. 42(2006) no.1, S.191-206
  3. Vechtomova, O.; Karamuftuoglum, M.; Robertson, S.E.: On document relevance and lexical cohesion between query terms (2006) 0.00
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    Abstract
    Lexical cohesion is a property of text, achieved through lexical-semantic relations between words in text. Most information retrieval systems make use of lexical relations in text only to a limited extent. In this paper we empirically investigate whether the degree of lexical cohesion between the contexts of query terms' occurrences in a document is related to its relevance to the query. Lexical cohesion between distinct query terms in a document is estimated on the basis of the lexical-semantic relations (repetition, synonymy, hyponymy and sibling) that exist between there collocates - words that co-occur with them in the same windows of text. Experiments suggest significant differences between the lexical cohesion in relevant and non-relevant document sets exist. A document ranking method based on lexical cohesion shows some performance improvements.
    Source
    Information processing and management. 42(2006) no.5, S.1230-1247
  4. Vechtomova, O.; Karamuftuoglu, M.: Query expansion with terms selected using lexical cohesion analysis of documents (2007) 0.00
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    Source
    Information processing and management. 43(2007) no.4, S.849-865
  5. Vechtomova, O.: Facet-based opinion retrieval from blogs (2010) 0.00
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    Source
    Information processing and management. 46(2010) no.1, S.71-88
  6. Vechtomova, O.: ¬A method for automatic extraction of multiword units representing business aspects from user reviews (2014) 0.00
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    Source
    Journal of the Association for Information Science and Technology. 65(2014) no.7, S.1463-1477
  7. Vechtomova, O.; Robertson, S.E.: ¬A domain-independent approach to finding related entities (2012) 0.00
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    Source
    Information processing and management. 48(2012) no.4, S.654-670