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| Creator | Title | Description | Subject | Date | ||
|---|---|---|---|---|---|---|
| 1 |
 | Riloff, Ellen M. | Case study in using linguistic phrases for text categorization on the WWW | Most learning algorithms that arc applied to text categorization problems rely on a bag-of-words document representation, i.e., each word occurring in the document is considered as a separate feature. In this paper, we investigate the use of linguistic phrases as input features for text categoriz... | Learning algorithms; Text categorization; Linguistic phrases; Information extraction patterns; AutoSlog-TS | 1998 |
| 2 |
 | Riloff, Ellen M. | Introduction to the Sundance and AutoSlog systems | This document describes the Sundance natural language processing system that has been developed at the University of Utah, as well as the AutoSlog and AutoSlog-TS extraction pattern learners that have been implemented on top of Sundance. Sundance is a shallow parser that also includes clause handlin... | Autoslog system; Sundance system; Extraction pattern learners; Learning algorithms | 2004 |
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