@inproceedings{roberts-kordoni-2012-using,
title = "Using Verb Subcategorization for Word Sense Disambiguation",
author = "Roberts, Will and
Kordoni, Valia",
booktitle = "Proceedings of the Eighth International Conference on Language Resources and Evaluation ({LREC}'12)",
month = may,
year = "2012",
address = "Istanbul, Turkey",
publisher = "European Language Resources Association (ELRA)",
url = "http://www.lrec-conf.org/proceedings/lrec2012/pdf/269_Paper.pdf",
pages = "829--832",
abstract = "We develop a model for predicting verb sense from subcategorization information and integrate it into SSI-Dijkstra, a wide-coverage knowledge-based WSD algorithm. Adding syntactic knowledge in this way should correct the current poor performance of WSD systems on verbs. This paper also presents, for the first time, an evaluation of SSI-Dijkstra on a standard data set which enables a comparison of this algorithm with other knowledge-based WSD systems. Our results show that our system is competitive with current graph-based WSD algorithms, and that the subcategorization model can be used to achieve better verb sense disambiguation performance.",
}
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%0 Conference Proceedings
%T Using Verb Subcategorization for Word Sense Disambiguation
%A Roberts, Will
%A Kordoni, Valia
%S Proceedings of the Eighth International Conference on Language Resources and Evaluation (LREC’12)
%D 2012
%8 may
%I European Language Resources Association (ELRA)
%C Istanbul, Turkey
%F roberts-kordoni-2012-using
%X We develop a model for predicting verb sense from subcategorization information and integrate it into SSI-Dijkstra, a wide-coverage knowledge-based WSD algorithm. Adding syntactic knowledge in this way should correct the current poor performance of WSD systems on verbs. This paper also presents, for the first time, an evaluation of SSI-Dijkstra on a standard data set which enables a comparison of this algorithm with other knowledge-based WSD systems. Our results show that our system is competitive with current graph-based WSD algorithms, and that the subcategorization model can be used to achieve better verb sense disambiguation performance.
%U http://www.lrec-conf.org/proceedings/lrec2012/pdf/269_Paper.pdf
%P 829-832
Markdown (Informal)
[Using Verb Subcategorization for Word Sense Disambiguation](http://www.lrec-conf.org/proceedings/lrec2012/pdf/269_Paper.pdf) (Roberts & Kordoni, LREC 2012)
ACL