Named Entity Recognition using Hundreds of Thousands of Features

  title={Named Entity Recognition using Hundreds of Thousands of Features},
  author={James Mayfield and Paul McNamee and Christine D. Piatko},
We present an approach to named entity recognition that uses support vector machines to capture transition probabilities in a lattice. The support vector machines are trained with hundreds of thousands of features drawn from the CoNLL-2003 Shared Task training data. Margin outputs are converted to estimated probabilities using a simple static function… CONTINUE READING

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