-
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)
0.02
0.024955466 = product of:
0.0748664 = sum of:
0.0748664 = product of:
0.11229959 = sum of:
0.040580396 = weight(_text_:science in 4483) [ClassicSimilarity], result of:
0.040580396 = score(doc=4483,freq=2.0), product of:
0.11619691 = queryWeight, product of:
2.6341193 = idf(docFreq=8627, maxDocs=44218)
0.044112243 = queryNorm
0.34923816 = fieldWeight in 4483, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
2.6341193 = idf(docFreq=8627, maxDocs=44218)
0.09375 = fieldNorm(doc=4483)
0.0717192 = weight(_text_:22 in 4483) [ClassicSimilarity], result of:
0.0717192 = score(doc=4483,freq=2.0), product of:
0.15447356 = queryWeight, product of:
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.044112243 = 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)
0.6666667 = coord(2/3)
0.33333334 = coord(1/3)
- Date
- 15. 3.2000 10:22:37
- Source
- Journal of information science. 25(1999) no.2, S.113-131
-
Tseng, Y.-H.: Automatic thesaurus generation for Chinese documents (2002)
0.01
0.01045839 = product of:
0.03137517 = sum of:
0.03137517 = product of:
0.047062755 = sum of:
0.016908498 = weight(_text_:science in 5226) [ClassicSimilarity], result of:
0.016908498 = score(doc=5226,freq=2.0), product of:
0.11619691 = queryWeight, product of:
2.6341193 = idf(docFreq=8627, maxDocs=44218)
0.044112243 = queryNorm
0.1455159 = fieldWeight in 5226, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
2.6341193 = idf(docFreq=8627, maxDocs=44218)
0.0390625 = fieldNorm(doc=5226)
0.030154258 = weight(_text_:29 in 5226) [ClassicSimilarity], result of:
0.030154258 = score(doc=5226,freq=2.0), product of:
0.15517308 = queryWeight, product of:
3.5176873 = idf(docFreq=3565, maxDocs=44218)
0.044112243 = 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)
0.6666667 = coord(2/3)
0.33333334 = coord(1/3)
- 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.
- Source
- Journal of the American Society for Information Science and technology. 53(2002) no.13, S.1130-1138
-
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)
0.00
0.0046484666 = product of:
0.0139454 = sum of:
0.0139454 = product of:
0.0418362 = sum of:
0.0418362 = weight(_text_:22 in 156) [ClassicSimilarity], result of:
0.0418362 = score(doc=156,freq=2.0), product of:
0.15447356 = queryWeight, product of:
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.044112243 = 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)
0.33333334 = coord(1/3)
- Date
- 8. 3.2007 19:55:22