Paper: Advances In Discriminative Parsing

ACL ID P06-1110
Title Advances In Discriminative Parsing
Venue Annual Meeting of the Association of Computational Linguistics
Session Main Conference
Year 2006
Authors

The present work advances the accu- racy and training speed of discrimina- tive parsing. Our discriminative parsing method has no generative component, yet surpasses a generative baseline on con- stituent parsing, and does so with mini- mal linguistic cleverness. Our model can incorporate arbitrary features of the in- put and parse state, and performs fea- ture selection incrementally over an ex- ponential feature space during training. We demonstrate the flexibility of our ap- proach by testing it with several pars- ing strategies and various feature sets. Our implementation is freely available at: http://nlp.cs.nyu.edu/parser/.