@inproceedings{ushioda-etal-1993-frequency,
    title = "Frequency Estimation of Verb Subcategorization Frames Based on Syntactic and Multidimensional Statistical Analysis",
    author = "Ushioda, Akira  and
      Evans, David A.  and
      Gibson, Ted  and
      Waibel, Alex",
    editor = "Bunt, Harry  and
      Berwick, Robert  and
      Church, Ken  and
      Joshi, Aravind  and
      Kaplan, Ronald  and
      Kay, Martin  and
      Lang, Bernard  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 Third International Workshop on Parsing Technologies",
    month = aug # " 10-13",
    year = "1993",
    address = "Tilburg, Netherlands and Durbuy, Belgium",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/jlcl-multiple-ingestion/1993.iwpt-1.24/",
    pages = "309--318",
    abstract = "We describe a mechanism for automatically estimating frequencies of verb subcategorization frames in a large corpus. A tagged corpus is first partially parsed to identify noun phrases and then a regular grammar is used to estimate the appropriate subcategorization frame for each verb token in the corpus. In an experiment involving the identification of six fixed subcategorization frames, our current system showed more than 80{\%} accuracy. In addition, a new statistical method enables the system to learn patterns of errors based on a set of training samples and substantially improves the accuracy of the frequency estimation."
}