A Maximum Entropy Model for Transforming Sentences to Logical Form

We formulate the problem of transformation natural language sentences as the determination of sequence of actions that transforms an input sentence to its logical form. The model to determine a sequence of actions for a corresponding sentence is automatically estimated from a corpus of sentences and their logical forms with a MEM framework. Experimental results show that the MEM framework are suitable for the transformation problem and archived a comparable result in comparison with other methods.