Abstract | ||
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mples is given a weight determined by the number of examples that it matches.2 Detailed Procedures of the Official Runs2.1 TrainingFor each topic, we used MG to index all the judged relevant documents to build a indexstructure, and to compute the term frequencies and document frequencies of all word-stems. WeSPermanent address: Department of Statistics, Soong Sil University, Seoul, Korea.selected 25 word-stems according to the Church criterion (Church & Gale, 1995) on distributions... |
Year | Venue | Keywords |
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1997 | TREC | indexation,term frequency |
Field | DocType | Citations |
Information retrieval,Computer science,Logical analysis of data,Logical analysis | Conference | 0 |
PageRank | References | Authors |
0.34 | 4 | 5 |
Name | Order | Citations | PageRank |
---|---|---|---|
Endre Boros | 1 | 1779 | 155.63 |
Paul B. Kantor | 2 | 716 | 115.67 |
Jung Jin Lee | 3 | 35 | 10.24 |
Kwong Bor Ng | 4 | 110 | 13.37 |
Di Zhao | 5 | 0 | 4.06 |