@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://aclanthology.org/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."
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%0 Conference Proceedings
%T Frequency Estimation of Verb Subcategorization Frames Based on Syntactic and Multidimensional Statistical Analysis
%A Ushioda, Akira
%A Evans, David A.
%A Gibson, Ted
%A Waibel, Alex
%Y Bunt, Harry
%Y Berwick, Robert
%Y Church, Ken
%Y Joshi, Aravind
%Y Kaplan, Ronald
%Y Kay, Martin
%Y Lang, Bernard
%Y Nagao, Makoto
%Y Nijholt, Anton
%Y Steedman, Mark
%Y Thompson, Henry
%Y Tomita, Masaru
%Y Vijay-Shanker, K.
%Y Wilks, Yorick
%Y Wittenburg, Kent
%S Proceedings of the Third International Workshop on Parsing Technologies
%D 1993
%8 aug 10 13
%I Association for Computational Linguistics
%C Tilburg, Netherlands and Durbuy, Belgium
%F ushioda-etal-1993-frequency
%X 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.
%U https://aclanthology.org/1993.iwpt-1.24/
%P 309-318
Markdown (Informal)
[Frequency Estimation of Verb Subcategorization Frames Based on Syntactic and Multidimensional Statistical Analysis](https://aclanthology.org/1993.iwpt-1.24/) (Ushioda et al., IWPT 1993)
ACL