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Next: Memory-Based Learning Up: Memory-Based Shallow Parsing Previous: Introduction

Approach

In our approach we will use three techniques. We will use memory-based learning as base classification method for assigning linguistic classes to data. We will attempt to solve a weakness of this approach, disregarding irrelevant features, by using an additional feature selection method. Finally, we will examine the combination of several learners in order to obtain an extra performance boost. This section also contains information about evaluation and system configuration for performing parameter tuning.



Subsections

Erik Tjong Kim Sang 2002-03-13