Developing and Evaluating a Probabilistic LR Parser of Part-of-Speech and Punctuation Labels
<|reference_start|>Developing and Evaluating a Probabilistic LR Parser of Part-of-Speech and Punctuation Labels: We describe an approach to robust domain-independent syntactic parsing of unrestricted naturally-occurring (English) input. The technique involves parsing sequences of part-of-speech and punctuation labels using a unification-based grammar coupled with a probabilistic LR parser. We describe the coverage of several corpora using this grammar and report the results of a parsing experiment using probabilities derived from bracketed training data. We report the first substantial experiments to assess the contribution of punctuation to deriving an accurate syntactic analysis, by parsing identical texts both with and without naturally-occurring punctuation marks.<|reference_end|>
@article{briscoe1995developing,
    title={Developing and Evaluating a Probabilistic LR Parser of Part-of-Speech
  and Punctuation Labels},
    author={Ted Briscoe (Cambridge University), and John Carroll (Cambridge
  University)},
    journal={4th International Workshop on Parsing Technologies (IWPT-95),
  48-58},
    year={1995},
    archivePrefix={arXiv},
    eprint={cmp-lg/9510005},
    primaryClass={cmp-lg cs.CL}
}