raw length value as a feature , we follow our previous work ( Rubino et al. , 2013 ; Wagner et al. , 2014 ) and create multiple features for length using a decision tree ( J48 ) .
dcusymantec at the wmt 2013 quality estimation shared task
Raphael Rubino Joachim Wagner Jennifer Foster Johann Roturier Rasoul Samad Zadeh Kaljahi Fred Hollowood
Length of words ( L ) : Instead of using the raw length value as a feature , we follow our previous work ( Rubino et al. , 2013 ; Wagner et al. , 2014 ) and create multiple features for length using a decision tree ( J48 ) . We use length as the only feature to train a decision tree for each fold and use the nodes obtained from the tree to create boolean features .
raw length value as a feature , we follow our previous work ( @@CITATION ; Wagner et al. , 2014 ) and create multiple features for length using a decision tree ( J48 ) .