Instance Filtering for entity recognition

@article{Gliozzo2005InstanceFF,
  title={Instance Filtering for entity recognition},
  author={Alfio Massimiliano Gliozzo and Claudio Giuliano and Raffaella Rinaldi},
  journal={SIGKDD Explorations},
  year={2005},
  volume={7},
  pages={11-18}
}
In this paper we propose Instance Filtering as preprocessing step for supervised classification-based learning systems for entity recognition. The goal of Instance Filtering is to reduce both the skewed class distribution and the data set size by eliminating negative instances, while preserving positive ones as much as possible. This process is performed on both the training and test set, with the effect of reducing the learning and classification time, while maintaining or improving the… CONTINUE READING

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