| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 517459 | Journal of the American Medical Informatics Association | 2009 | 5 Pages |
Abstract
The authors show in the paper that a simple rule-based classifier can tackle the semantic classification task more successfully than machine learning techniques, if the training data are limited and some semantic labels are very sparse.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science Applications
Authors
Illés Solt, Domonkos Tikk, Viktor Gál, Zsolt T. Kardkovács,