Because users often provided short or incomplete English descriptions, the resulting data is extremely noisy for the task of training a semantic parser.
we have constructed semantic-parser learners that utilize and adapt ideas from several previous approaches (Kate and Mooney, 2006;Wong and Mooney, 2006) to learn an effective interpreter from such noisy training data.