Robust stochastic parsing using the inside-outside algorithm
<|reference_start|>Robust stochastic parsing using the inside-outside algorithm: The paper describes a parser of sequences of (English) part-of-speech labels which utilises a probabilistic grammar trained using the inside-outside algorithm. The initial (meta)grammar is defined by a linguist and further rules compatible with metagrammatical constraints are automatically generated. During training, rules with very low probability are rejected yielding a wide-coverage parser capable of ranking alternative analyses. A series of corpus-based experiments describe the parser's performance.<|reference_end|>
@article{briscoe1994robust,
    title={Robust stochastic parsing using the inside-outside algorithm},
    author={Briscoe, Ted and Waegner, Nick (University of Cambridge)},
    journal={arXiv preprint arXiv:cmp-lg/9412006},
    year={1994},
    archivePrefix={arXiv},
    eprint={cmp-lg/9412006},
    primaryClass={cmp-lg cs.CL}
}