Vechtomova, O.; Karamuftuoglum, M.; Robertson, S.E.: On document relevance and lexical cohesion between query terms (2006)
0.01
0.009239726 = product of:
0.027719175 = sum of:
0.027719175 = weight(_text_:on in 987) [ClassicSimilarity], result of:
0.027719175 = score(doc=987,freq=6.0), product of:
0.109763056 = queryWeight, product of:
2.199415 = idf(docFreq=13325, maxDocs=44218)
0.04990557 = queryNorm
0.25253648 = fieldWeight in 987, product of:
2.4494898 = tf(freq=6.0), with freq of:
6.0 = termFreq=6.0
2.199415 = idf(docFreq=13325, maxDocs=44218)
0.046875 = fieldNorm(doc=987)
0.33333334 = coord(1/3)
- 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.
