Recurrent Neural Network Grammars

We introduce recurrent neural network grammars, probabilistic models of sentences with explicit phrase structure. We explain efficient inference procedures that allow application to both parsing and language modeling. Experiments show that they provide better parsing in English than any single previously published supervised generative model and better… CONTINUE READING

14 Figures & Tables

Topics

Statistics

050100201620172018
Citations per Year

141 Citations

Semantic Scholar estimates that this publication has 141 citations based on the available data.

See our FAQ for additional information.