However, in the task of semantic parsing, this decision relies on identifying a hidden intermediate representation (or an alignment) that captures the way in which fragments of the text correspond to the meaning representation.
we formulate the prediction function as follows: Where Φ is a feature function that describes the relationships between an input sentence x, alignment y and meaning representation z. w is the weight vector which contains the parameters of the model.