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| Information Processing &… | 3 |
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| Cha, Jeongwon | 1 |
| Chan, Benjamin | 1 |
| Flood, James | 1 |
| Hersh, William | 1 |
| Kim, Dongseok | 1 |
| Kraemer, Dale | 1 |
| Lee, Gary Geunbae | 1 |
| Olson, Daniel | 1 |
| Price, Susan | 1 |
| Sacherek, Lynetta | 1 |
| Seo, Jungyun | 1 |
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| Journal Articles | 3 |
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Peer reviewedHersh, William; Turpin, Andrew; Price, Susan; Kraemer, Dale; Olson, Daniel; Chan, Benjamin; Sacherek, Lynetta – Information Processing & Management, 2001
Describes research conducted at the TREC (Text Retrieval Conference) interactive track that compared Boolean and natural language searching, showing they achieved comparable results; and assessed the validity of batch-oriented retrieval evaluations, showing that the results from batch evaluations were not comparable to those obtained in…
Descriptors: Comparative Analysis, Evaluation Methods, Information Retrieval, Natural Language Processing
Peer reviewedShim, Junhyeok; Kim, Dongseok; Cha, Jeongwon; Lee, Gary Geunbae; Seo, Jungyun – Information Processing & Management, 2002
Discussion of natural language processing focuses on a multi-strategic integrated text preprocessing method for difficult problems of sentence boundary disambiguation and word boundary disambiguation of Web texts. Describes an evaluation of the method using Korean Web document collections. (Author/LRW)
Descriptors: Evaluation Methods, Korean, Mathematical Formulas, Natural Language Processing
Peer reviewedTurtle, Howard; Flood, James – Information Processing & Management, 1995
Discusses two query evaluation strategies used in large text retrieval systems: (1) term-at-a-time; and (2) document-at-a-time. Describes optimization techniques that can reduce query evaluation costs. Presents simulation results that compare the performance of these optimization techniques when applied to natural language query evaluation. (JMV)
Descriptors: Access to Information, Comparative Analysis, Cost Effectiveness, Evaluation Methods


