Named Entity Recognition using Hundreds of Thousands of Features
CoNLL, pp. 184-187, 2003.
conll-2003 shared task testtransition probabilitymargin outputsimple static functiontest b resultMore(4+)
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 st...More
PPT (Upload PPT)