Learning grammar with a divide-and-concur neural network
Learning grammar with a divide-and-concur neural network
We implement a divide-and-concur iterative projection approach to context-free grammar inference. Unlike most state-of-the-art models of natural language processing, our method requires a relatively small number of discrete parameters, making the inferred grammar directly interpretable-one can read off from a solution how to construct grammatically valid sentences. Another advantage of …