Grammar Induction with Neural Language Models: An Unusual Replication

摘要

In our analysis of the PRPN model, we find several experimental problems that make the results difficult to interpret. However, in the analyses going well beyond the scope of the original paper, we find that PRPN is nonetheless robust. It represents a viable method for grammar induction and the first success for latent tree learning. We expect that it heralds further work on language modeling as a tool for grammar induction research.