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| Data Processing | 3 |
| Electronic Text | 3 |
| Abstracting | 2 |
| Expert Systems | 2 |
| Access to Information | 1 |
| Classification | 1 |
| Cluster Analysis | 1 |
| Cluster Grouping | 1 |
| Databases | 1 |
| Formative Evaluation | 1 |
| Information Retrieval | 1 |
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| Journal Articles | 3 |
| Reports - Research | 3 |
| Reports - Descriptive | 2 |
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Peer reviewedBrandow, Ronald; And Others – Information Processing & Management, 1995
Describes a system that performs automatic summaries of news from a large commercial news service encompassing 41 different publications. This system was compared to a system that used only the lead sentences of the texts. Lead-based summaries significantly outperformed the sentence-selection summaries. (AEF)
Descriptors: Abstracting, Data Processing, Electronic Text, Expert Systems
Peer reviewedMaybury, Mark T. – Information Processing & Management, 1995
Describes and evaluates a system that selects key information from an event database by reasoning about event frequencies, frequencies of relations between events, and domain-specific importance measures. The system aggregates similar information and plans a summary tailored to a stereotypical user. (AEF)
Descriptors: Abstracting, Data Processing, Databases, Electronic Text
Peer reviewedRuocco, Anthony S.; Frieder, Ophir – Journal of the American Society for Information Science, 1997
Proposes use of parallel computing systems to overcome the computationally intense clustering process. Results show some near linear speed up in higher threshold clustering applications, meeting the requirements to classify, group and process large document sets within nonprohibitive execution times. Includes graphs and charts. (JAK)
Descriptors: Access to Information, Classification, Cluster Analysis, Cluster Grouping
