| W02-1008 | intelligent sample selection and | error-driven pruning | of classification rule - sets |
| W02-1008 | 5 describes and evaluates the | error-driven pruning | algorithm . We conclude with |
| P98-1034 | could then consider applying our | error-driven pruning | strategy to rules encoded as |
| W02-1008 | Combining Sample Selection and | Error-Driven Pruning | for Machine Learning of Coreference |
| W02-1008 | function . The Algorithm . The | error-driven pruning | algorithm is inspired by the |
| X98-1017 | acquisition of grammars through | error-driven pruning | oftreebank grammars \ -LSB- 6 |
| P98-1034 | t-features have to be defined . <title> | Error-Driven Pruning | of Treebank Grammars for Base |
| P07-1029 | this hypothesis by training the | Error-Driven Pruning | ( EDP ) method of ( Cardie and |
| C00-1034 | Cardie and Pierce , 1.998 ) ( | error-driven pruning | of treebank grammars ) . ALLiS |
