many natural language processing tasks, they can be too slow for real-time applications.
One performance bottleneck is predicting the most likely next token over a large vocabulary;
methods to circumvent this bottleneck are a current research topic. We focus specifically on
using seq2seq models for semantic parsing, where we observe that grammars often exist
which specify valid formal representations of utterance semantics. By developing a generic …