@inproceedings{srinivas-1997-performance,
title = "Performance Evaluation of Supertagging for Partial Parsing",
author = "Srinivas, B.",
editor = "Nijholt, Anton and
Berwick, Robert C. and
Bunt, Harry C. and
Carpenter, Bob and
Hajicova, Eva and
Johnson, Mark and
Joshi, Aravind and
Kaplan, Ronald and
Kay, Martin and
Lang, Bernard and
Lavie, Alon and
Nagao, Makoto and
Steedman, Mark and
Tomita, Masaru and
Vijay-Shanker, K. and
Weir, David and
Wittenburg, Kent and
Wiren, Mats",
booktitle = "Proceedings of the Fifth International Workshop on Parsing Technologies",
month = sep # " 17-20",
year = "1997",
address = "Boston/Cambridge, Massachusetts, USA",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/1997.iwpt-1.22",
pages = "187--198",
abstract = "In previous work we introduced the idea of supertagging as a means of improving the efficiency of a lexicalized grammar parser. In this paper, we present supertagging in conjunction with a lightweight dependency analyzer as a robust and efficient partial parser. The present work is significant for two reasons. First, we have vastly improved our results; 92{\%} accurate for supertag disambiguation using lexical information, larger training corpus and smoothing techniques. Second, we show how supertagging can be used for partial parsing and provide detailed evaluation results for detecting noun chunks, verb chunks, preposition phrase attachment and a variety of other linguistic constructions. Using supertag representation, we achieve a recall rate of 93.0{\%} and a precision rate of 91.8{\%} for noun chunking, improving on the best known result for noun chunking.",
}
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%0 Conference Proceedings
%T Performance Evaluation of Supertagging for Partial Parsing
%A Srinivas, B.
%Y Nijholt, Anton
%Y Berwick, Robert C.
%Y Bunt, Harry C.
%Y Carpenter, Bob
%Y Hajicova, Eva
%Y Johnson, Mark
%Y Joshi, Aravind
%Y Kaplan, Ronald
%Y Kay, Martin
%Y Lang, Bernard
%Y Lavie, Alon
%Y Nagao, Makoto
%Y Steedman, Mark
%Y Tomita, Masaru
%Y Vijay-Shanker, K.
%Y Weir, David
%Y Wittenburg, Kent
%Y Wiren, Mats
%S Proceedings of the Fifth International Workshop on Parsing Technologies
%D 1997
%8 sep 17 20
%I Association for Computational Linguistics
%C Boston/Cambridge, Massachusetts, USA
%F srinivas-1997-performance
%X In previous work we introduced the idea of supertagging as a means of improving the efficiency of a lexicalized grammar parser. In this paper, we present supertagging in conjunction with a lightweight dependency analyzer as a robust and efficient partial parser. The present work is significant for two reasons. First, we have vastly improved our results; 92% accurate for supertag disambiguation using lexical information, larger training corpus and smoothing techniques. Second, we show how supertagging can be used for partial parsing and provide detailed evaluation results for detecting noun chunks, verb chunks, preposition phrase attachment and a variety of other linguistic constructions. Using supertag representation, we achieve a recall rate of 93.0% and a precision rate of 91.8% for noun chunking, improving on the best known result for noun chunking.
%U https://aclanthology.org/1997.iwpt-1.22
%P 187-198
Markdown (Informal)
[Performance Evaluation of Supertagging for Partial Parsing](https://aclanthology.org/1997.iwpt-1.22) (Srinivas, IWPT 1997)
ACL