Log-linear models have proved successful in a wide variety of applications , and are the inspiration behind one of the best current statistical parsers ( Charniak , 2000 ) .
a maximumentropyinspired parser
Eugene Charniak
The outputs of this network are probability estimates computed with a log-linear model ( also known as a maximum entropy model ) , as is done in ( Ratnaparkhi , 1999 ) . Log-linear models have proved successful in a wide variety of applications , and are the inspiration behind one of the best current statistical parsers ( Charniak , 2000 ) . The difference from previous approaches is in the nature of the input to the log-linear model .
Log-linear models have proved successful in a wide variety of applications , and are the inspiration behind one of the best current statistical parsers ( @@CITATION ) .