Generative versus Discriminative Models for Statistical Left-Corner Parsing.
James Henderson · International Workshop/Conference on Parsing Technologies · 2003
We propose two statistical left-corner parsers and investigate their accuracy at varying speeds. The parser based on a generative probability model achieves state-of-the-art accuracy when sufficient time is available, but when high speed is required the parser based on a discriminative probability model performs better. Neural network probability estimation is used to handle conditioning on both the unbounded parse histories and the unbounded lookahead strings.