As shown in ( Okanohara and Tsujii , 2007 ) , using this representation , a linear classifier can not distinguish sentences sampled from a trigram and real sentences .
a discriminative language model with pseudonegative samples
Daisuke Okanohara Jun'ichi Tsujii
This code was extensively optimized to take advantage of the very sparse sentence representation described above . As shown in ( Okanohara and Tsujii , 2007 ) , using this representation , a linear classifier can not distinguish sentences sampled from a trigram and real sentences . Therefore , we used a 3rd order polynomial kernel , which was found to give good results .
As shown in ( @@CITATION ) , using this representation , a linear classifier can not distinguish sentences sampled from a trigram and real sentences .