Using Uneven Margins SVM and Perceptron for Information Extraction

@inproceedings{Li2005UsingUM,
  title={Using Uneven Margins SVM and Perceptron for Information Extraction},
  author={Yaoyong Li and Kalina Bontcheva and Hamish Cunningham},
  booktitle={CoNLL},
  year={2005}
}
The classification problem derived from information extraction (IE) has an imbalanced training set. This is particularly true when learning from smaller datasets which often have a few positive training examples and many negative ones. This paper takes two popular IE algorithms – SVM and Perceptron – and demonstrates how the introduction of an uneven… CONTINUE READING

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