In<cite> Clark and Curran (2004b)</cite> we use a cluster of 45 machines, together with a parallel implementation of BFGS, to solve this problem, but need up to 20 GB of RAM. The feature forest representation, and our implementation of it, is so compact that the perceptron training requires only 20 MB of RAM.