However, WASP performs quite favorably compared to SILT and COCKTAIL, which use the same training data.
cOcKTAIL, a deterministic shift-reduce parser based on inductive logic programming, fails to scale up to the ROBOcUP domain where sentences are much longer, and crashes on larger training sets due to memory overflow.