3. The method of claim 2 wherein the semantic model comprises: a tensor function that generates a tensor based on two syntactic vectors; a first matrix function that generates a first matrix based on two syntactic vectors; a second matrix function that generates a second matrix based on two syntactic vectors; and an offset function that generates an offset vector based on two syntactic vectors.
3. The method of claim 2 wherein the semantic model comprises: a tensor function that generates a tensor based on two syntactic vectors; a first matrix function that generates a first matrix based on two syntactic vectors; a second matrix function that generates a second matrix based on two syntactic vectors; and an offset function that generates an offset vector based on two syntactic vectors. 4. The method of claim 3 wherein generating the semantic representation corresponding to the selected non-leaf node of the dependency structure comprises: obtaining a first syntactic vector corresponding to a first parent node of the selected non-leaf node; obtaining a second syntactic vector corresponding to a second parent node of the selected non-leaf node; generating the tensor by applying the tensor function to the first syntactic vector and the second syntactic vector; generating the first matrix by applying the first matrix function to the first syntactic vector and the second syntactic vector; generating the second matrix by applying the second matrix function to the first syntactic vector and the second syntactic vector; and generating the offset vector by applying the offset function to the first syntactic vector and the second syntactic vector.