-
Schneider, J.W.; Borlund, P.: ¬A bibliometric-based semiautomatic approach to identification of candidate thesaurus terms : parsing and filtering of noun phrases from citation contexts (2005)
0.02
0.021500306 = product of:
0.043000612 = sum of:
0.0052644373 = weight(_text_:e in 156) [ClassicSimilarity], result of:
0.0052644373 = score(doc=156,freq=2.0), product of:
0.047356583 = queryWeight, product of:
1.43737 = idf(docFreq=28552, maxDocs=44218)
0.03294669 = queryNorm
0.1111659 = fieldWeight in 156, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
1.43737 = idf(docFreq=28552, maxDocs=44218)
0.0546875 = fieldNorm(doc=156)
0.02732059 = weight(_text_:u in 156) [ClassicSimilarity], result of:
0.02732059 = score(doc=156,freq=2.0), product of:
0.107882105 = queryWeight, product of:
3.2744443 = idf(docFreq=4547, maxDocs=44218)
0.03294669 = queryNorm
0.25324488 = fieldWeight in 156, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.2744443 = idf(docFreq=4547, maxDocs=44218)
0.0546875 = fieldNorm(doc=156)
0.010415585 = product of:
0.031246753 = sum of:
0.031246753 = weight(_text_:22 in 156) [ClassicSimilarity], result of:
0.031246753 = score(doc=156,freq=2.0), product of:
0.1153737 = queryWeight, product of:
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.03294669 = queryNorm
0.2708308 = fieldWeight in 156, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.0546875 = fieldNorm(doc=156)
0.33333334 = coord(1/3)
0.5 = coord(3/6)
- Date
- 8. 3.2007 19:55:22
- Language
- e
- Source
- Context: nature, impact and role. 5th International Conference an Conceptions of Library and Information Sciences, CoLIS 2005 Glasgow, UK, June 2005. Ed. by F. Crestani u. I. Ruthven
-
Byrne, C.C.; McCracken, S.A.: ¬An adaptive thesaurus employing semantic distance, relational inheritance and nominal compound interpretation for linguistic support of information retrieval (1999)
0.01
0.008960012 = product of:
0.026880037 = sum of:
0.0090247495 = weight(_text_:e in 4483) [ClassicSimilarity], result of:
0.0090247495 = score(doc=4483,freq=2.0), product of:
0.047356583 = queryWeight, product of:
1.43737 = idf(docFreq=28552, maxDocs=44218)
0.03294669 = queryNorm
0.19057012 = fieldWeight in 4483, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
1.43737 = idf(docFreq=28552, maxDocs=44218)
0.09375 = fieldNorm(doc=4483)
0.017855287 = product of:
0.05356586 = sum of:
0.05356586 = weight(_text_:22 in 4483) [ClassicSimilarity], result of:
0.05356586 = score(doc=4483,freq=2.0), product of:
0.1153737 = queryWeight, product of:
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.03294669 = queryNorm
0.46428138 = fieldWeight in 4483, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.09375 = fieldNorm(doc=4483)
0.33333334 = coord(1/3)
0.33333334 = coord(2/6)
- Date
- 15. 3.2000 10:22:37
- Language
- e
-
Tseng, Y.-H.: Automatic thesaurus generation for Chinese documents (2002)
0.00
0.0037558496 = product of:
0.011267548 = sum of:
0.0037603125 = weight(_text_:e in 5226) [ClassicSimilarity], result of:
0.0037603125 = score(doc=5226,freq=2.0), product of:
0.047356583 = queryWeight, product of:
1.43737 = idf(docFreq=28552, maxDocs=44218)
0.03294669 = queryNorm
0.07940422 = fieldWeight in 5226, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
1.43737 = idf(docFreq=28552, maxDocs=44218)
0.0390625 = fieldNorm(doc=5226)
0.007507236 = product of:
0.022521708 = sum of:
0.022521708 = weight(_text_:29 in 5226) [ClassicSimilarity], result of:
0.022521708 = score(doc=5226,freq=2.0), product of:
0.11589616 = queryWeight, product of:
3.5176873 = idf(docFreq=3565, maxDocs=44218)
0.03294669 = queryNorm
0.19432661 = fieldWeight in 5226, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.5176873 = idf(docFreq=3565, maxDocs=44218)
0.0390625 = fieldNorm(doc=5226)
0.33333334 = coord(1/3)
0.33333334 = coord(2/6)
- Abstract
- Tseng constructs a word co-occurrence based thesaurus by means of the automatic analysis of Chinese text. Words are identified by a longest dictionary match supplemented by a key word extraction algorithm that merges back nearby tokens and accepts shorter strings of characters if they occur more often than the longest string. Single character auxiliary words are a major source of error but this can be greatly reduced with the use of a 70-character 2680 word stop list. Extracted terms with their associate document weights are sorted by decreasing frequency and the top of this list is associated using a Dice coefficient modified to account for longer documents on the weights of term pairs. Co-occurrence is not in the document as a whole but in paragraph or sentence size sections in order to reduce computation time. A window of 29 characters or 11 words was found to be sufficient. A thesaurus was produced from 25,230 Chinese news articles and judges asked to review the top 50 terms associated with each of 30 single word query terms. They determined 69% to be relevant.
- Language
- e
-
Rahmstorf, G.: Information retrieval using conceptual representations of phrases (1994)
0.00
7.520625E-4 = product of:
0.0045123748 = sum of:
0.0045123748 = weight(_text_:e in 7862) [ClassicSimilarity], result of:
0.0045123748 = score(doc=7862,freq=2.0), product of:
0.047356583 = queryWeight, product of:
1.43737 = idf(docFreq=28552, maxDocs=44218)
0.03294669 = queryNorm
0.09528506 = fieldWeight in 7862, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
1.43737 = idf(docFreq=28552, maxDocs=44218)
0.046875 = fieldNorm(doc=7862)
0.16666667 = coord(1/6)
- Language
- e