@inproceedings{samuelsson-1995-novel,
    title = "A Novel Framework for Reductionistic Statistical Parsing",
    author = "Samuelsson, Christer",
    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/add-emnlp-2024-awards/1995.iwpt-1.25/",
    pages = "208--215",
    abstract = "A reductionistic statistical framework for part-of-speech tagging and surface syntactic parsing is presented that has the same expressive power as the highly successful Constraint Grammar approach, see [Karlsson et al. 1995]. The structure of the Constraint Grammar rules allows them to be viewed as conditional probabilities that can be used to update the lexical tag probabilities, after which low-probability tags are repeatedly removed. Experiments using strictly conventional information sources on the Susanne and Teleman corpora indicate that the system performs as well as a traditional HMM-based part-of-speech tagger, yielding state-of-the-art results. The scheme also enables using the same information sources as the Constraint Grammar approach, and the hope is that it can improve on the performance of both statistical taggers and surface-syntactic analyzers."
}