Three Generative, Lexicalised Models for Statistical Parsing
<|reference_start|>Three Generative, Lexicalised Models for Statistical Parsing: In this paper we first propose a new statistical parsing model, which is a generative model of lexicalised context-free grammar. We then extend the model to include a probabilistic treatment of both subcategorisation and wh-movement. Results on Wall Street Journal text show that the parser performs at 88.1/87.5% constituent precision/recall, an average improvement of 2.3% over (Collins 96).<|reference_end|>
@article{collins1997three,
    title={Three Generative, Lexicalised Models for Statistical Parsing},
    author={Michael Collins (University of Pennsylvania)},
    journal={arXiv preprint arXiv:cmp-lg/9706022},
    year={1997},
    archivePrefix={arXiv},
    eprint={cmp-lg/9706022},
    primaryClass={cmp-lg cs.CL}
}