Abstract
This paper presents a new technique for selecting the correct parse of ambiguous sentences based on a probabilistic analysis, of lexical cooccurrences in semantic forms. The method is called “Semco” (for semantic cooccurrence analysis) and is specifically targeted at the differential distribution of such cooccurrences in correct and incorrect parses. It uses Bayesian Estimation for the cooccurrence probabilities to achieve higher accuracy for sparse data than the more common Maximum Likelihood Estimation would. It has been tested on the Wall Street Journal corpus (in the PENN Treebank) and shown to find the correct parse of 60.9% of parseable sentences of 6-20 words.- Anthology ID:
- 1997.iwpt-1.15
- Volume:
- Proceedings of the Fifth International Workshop on Parsing Technologies
- Month:
- September 17-20
- Year:
- 1997
- Address:
- Boston/Cambridge, Massachusetts, USA
- Editors:
- Anton Nijholt, Robert C. Berwick, Harry C. Bunt, Bob Carpenter, Eva Hajicova, Mark Johnson, Aravind Joshi, Ronald Kaplan, Martin Kay, Bernard Lang, Alon Lavie, Makoto Nagao, Mark Steedman, Masaru Tomita, K. Vijay-Shanker, David Weir, Kent Wittenburg, Mats Wiren
- Venue:
- IWPT
- SIG:
- SIGPARSE
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 113–122
- Language:
- URL:
- https://aclanthology.org/1997.iwpt-1.15
- DOI:
- Bibkey:
- Cite (ACL):
- Eirik Hektoen. 1997. Probabilistic Parse Selection based on Semantic Cooccurrences. In Proceedings of the Fifth International Workshop on Parsing Technologies, pages 113–122, Boston/Cambridge, Massachusetts, USA. Association for Computational Linguistics.
- Cite (Informal):
- Probabilistic Parse Selection based on Semantic Cooccurrences (Hektoen, IWPT 1997)
- Copy Citation:
- PDF:
- https://aclanthology.org/1997.iwpt-1.15.pdf
Export citation
@inproceedings{hektoen-1997-probabilistic,
title = "Probabilistic Parse Selection based on Semantic Cooccurrences",
author = "Hektoen, Eirik",
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-1.15",
pages = "113--122",
abstract = "This paper presents a new technique for selecting the correct parse of ambiguous sentences based on a probabilistic analysis, of lexical cooccurrences in semantic forms. The method is called {``}Semco{''} (for semantic cooccurrence analysis) and is specifically targeted at the differential distribution of such cooccurrences in correct and incorrect parses. It uses Bayesian Estimation for the cooccurrence probabilities to achieve higher accuracy for sparse data than the more common Maximum Likelihood Estimation would. It has been tested on the Wall Street Journal corpus (in the PENN Treebank) and shown to find the correct parse of 60.9{\%} of parseable sentences of 6-20 words.",
}
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%0 Conference Proceedings %T Probabilistic Parse Selection based on Semantic Cooccurrences %A Hektoen, Eirik %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 hektoen-1997-probabilistic %X This paper presents a new technique for selecting the correct parse of ambiguous sentences based on a probabilistic analysis, of lexical cooccurrences in semantic forms. The method is called “Semco” (for semantic cooccurrence analysis) and is specifically targeted at the differential distribution of such cooccurrences in correct and incorrect parses. It uses Bayesian Estimation for the cooccurrence probabilities to achieve higher accuracy for sparse data than the more common Maximum Likelihood Estimation would. It has been tested on the Wall Street Journal corpus (in the PENN Treebank) and shown to find the correct parse of 60.9% of parseable sentences of 6-20 words. %U https://aclanthology.org/1997.iwpt-1.15 %P 113-122
Markdown (Informal)
[Probabilistic Parse Selection based on Semantic Cooccurrences](https://aclanthology.org/1997.iwpt-1.15) (Hektoen, IWPT 1997)
- Probabilistic Parse Selection based on Semantic Cooccurrences (Hektoen, IWPT 1997)
ACL
- Eirik Hektoen. 1997. Probabilistic Parse Selection based on Semantic Cooccurrences. In Proceedings of the Fifth International Workshop on Parsing Technologies, pages 113–122, Boston/Cambridge, Massachusetts, USA. Association for Computational Linguistics.