We compared our system's performance with the following existing systems: the string and tree versions of SILT , a system that learns transformation rules relating NL phrases to MRL expressions; WASP (Wong and Mooney, 2006), a system that learns transformation rules using statistical machine translation techniques; SCISSOR (Ge and Mooney, 2005), a system that learns an integrated syntactic-semantic parser; and CHILL (Tang and Mooney, 2001) an ILP-based semantic parser.
we note that SCISSOR requires more supervision for the training corpus in the form of semantically annotated syntactic parse trees for the training sentences.