Named Entity Recognition using Hundreds of Thousands of Features

CoNLL, pp. 184-187, 2003.

Cited by: 136|Bibtex|Views21|Links
EI
Keywords:
conll-2003 shared task testtransition probabilitymargin outputsimple static functiontest b resultMore(4+)

Abstract:

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

Code:

Data:

Your rating :
0

 

Tags
Comments