Search (1 results, page 1 of 1)

  • × author_ss:"Karamuftuoglum, M."
  • × author_ss:"Robertson, S.E."
  1. Vechtomova, O.; Karamuftuoglum, M.; Robertson, S.E.: On document relevance and lexical cohesion between query terms (2006) 0.00
    0.003790876 = product of:
      0.02653613 = sum of:
        0.00856136 = weight(_text_:information in 987) [ClassicSimilarity], result of:
          0.00856136 = score(doc=987,freq=4.0), product of:
            0.052020688 = queryWeight, product of:
              1.7554779 = idf(docFreq=20772, maxDocs=44218)
              0.029633347 = queryNorm
            0.16457605 = fieldWeight in 987, product of:
              2.0 = tf(freq=4.0), with freq of:
                4.0 = termFreq=4.0
              1.7554779 = idf(docFreq=20772, maxDocs=44218)
              0.046875 = fieldNorm(doc=987)
        0.01797477 = weight(_text_:retrieval in 987) [ClassicSimilarity], result of:
          0.01797477 = score(doc=987,freq=2.0), product of:
            0.08963835 = queryWeight, product of:
              3.024915 = idf(docFreq=5836, maxDocs=44218)
              0.029633347 = queryNorm
            0.20052543 = fieldWeight in 987, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.024915 = idf(docFreq=5836, maxDocs=44218)
              0.046875 = fieldNorm(doc=987)
      0.14285715 = coord(2/14)
    
    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