@inproceedings{briscoe-carroll-1995-developing,
    title = "Developing and Evaluating a Probabilistic {LR} Parser of Part-of-Speech and Punctuation Labels",
    author = "Briscoe, Ted  and
      Carroll, John",
    editor = "Hajicova, Eva  and
      Lang, Bernard  and
      Berwick, Robert  and
      Bunt, Harry  and
      Carpenter, Bob  and
      Church, Ken  and
      Joshi, Aravind  and
      Kaplan, Ronald  and
      Kay, Martin  and
      Nagao, Makoto  and
      Nijholt, Anton  and
      Steedman, Mark  and
      Thompson, Henry  and
      Tomita, Masaru  and
      Vijay-Shanker, K.  and
      Wilks, Yorick  and
      Wittenburg, Kent",
    booktitle = "Proceedings of the Fourth International Workshop on Parsing Technologies",
    month = sep # " 20-24",
    year = "1995",
    address = "Prague and Karlovy Vary, Czech Republic",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/jlcl-multiple-ingestion/1995.iwpt-1.8/",
    pages = "48--58",
    abstract = "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."
}