Dependency Model using Posterior Context
Kiyotaka Uchimoto, Masaki Murata, Satoshi Sekine, Hitoshi Isahara
Abstract
We describe a new model for dependency structure analysis. This model learns the relationship between two phrasal units called bunsetsus as three categories; ‘between’, ‘dependent’, and ‘beyond’, and estimates the dependency likelihood by considering not only the relationship between two bunsetsus but also the relationship between the left bunsetsu and all of the bunsetsus to its right. We implemented this model based on the maximum entropy model. When using the Kyoto University corpus, the dependency accuracy of our model was 88%, which is about 1% higher than that of the conventional model using exactly the same features.- Anthology ID:
- 2000.iwpt-1.43
- Volume:
- Proceedings of the Sixth International Workshop on Parsing Technologies
- Month:
- February 23-25
- Year:
- 2000
- Address:
- Trento, Italy
- Editors:
- Alberto Lavelli, John Carroll, Robert C. Berwick, Harry C. Bunt, Bob Carpenter, John Carroll, Ken Church, Mark Johnson, Aravind Joshi, Ronald Kaplan, Martin Kay, Bernard Lang, Alon Lavie, Anton Nijholt, Christer Samuelsson, Mark Steedman, Oliviero Stock, Hozumi Tanaka, Masaru Tomita, Hans Uszkoreit, K. Vijay-Shanker, David Weir, Mats Wiren
- Venue:
- IWPT
- SIG:
- SIGPARSE
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 321–322
- Language:
- URL:
- https://aclanthology.org/2000.iwpt-1.43
- DOI:
- Bibkey:
- Cite (ACL):
- Kiyotaka Uchimoto, Masaki Murata, Satoshi Sekine, and Hitoshi Isahara. 2000. Dependency Model using Posterior Context. In Proceedings of the Sixth International Workshop on Parsing Technologies, pages 321–322, Trento, Italy. Association for Computational Linguistics.
- Cite (Informal):
- Dependency Model using Posterior Context (Uchimoto et al., IWPT 2000)
- Copy Citation:
- PDF:
- https://aclanthology.org/2000.iwpt-1.43.pdf
Export citation
@inproceedings{uchimoto-etal-2000-dependency,
title = "Dependency Model using Posterior Context",
author = "Uchimoto, Kiyotaka and
Murata, Masaki and
Sekine, Satoshi and
Isahara, Hitoshi",
editor = "Lavelli, Alberto and
Carroll, John and
Berwick, Robert C. and
Bunt, Harry C. and
Carpenter, Bob and
Carroll, John and
Church, Ken and
Johnson, Mark and
Joshi, Aravind and
Kaplan, Ronald and
Kay, Martin and
Lang, Bernard and
Lavie, Alon and
Nijholt, Anton and
Samuelsson, Christer and
Steedman, Mark and
Stock, Oliviero and
Tanaka, Hozumi and
Tomita, Masaru and
Uszkoreit, Hans and
Vijay-Shanker, K. and
Weir, David and
Wiren, Mats",
booktitle = "Proceedings of the Sixth International Workshop on Parsing Technologies",
month = feb # " 23-25",
year = "2000",
address = "Trento, Italy",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2000.iwpt-1.43",
pages = "321--322",
abstract = "We describe a new model for dependency structure analysis. This model learns the relationship between two phrasal units called bunsetsus as three categories; {`}between{'}, {`}dependent{'}, and {`}beyond{'}, and estimates the dependency likelihood by considering not only the relationship between two bunsetsus but also the relationship between the left bunsetsu and all of the bunsetsus to its right. We implemented this model based on the maximum entropy model. When using the Kyoto University corpus, the dependency accuracy of our model was 88{\%}, which is about 1{\%} higher than that of the conventional model using exactly the same features.",
}
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%0 Conference Proceedings %T Dependency Model using Posterior Context %A Uchimoto, Kiyotaka %A Murata, Masaki %A Sekine, Satoshi %A Isahara, Hitoshi %Y Lavelli, Alberto %Y Carroll, John %Y Berwick, Robert C. %Y Bunt, Harry C. %Y Carpenter, Bob %Y Church, Ken %Y Johnson, Mark %Y Joshi, Aravind %Y Kaplan, Ronald %Y Kay, Martin %Y Lang, Bernard %Y Lavie, Alon %Y Nijholt, Anton %Y Samuelsson, Christer %Y Steedman, Mark %Y Stock, Oliviero %Y Tanaka, Hozumi %Y Tomita, Masaru %Y Uszkoreit, Hans %Y Vijay-Shanker, K. %Y Weir, David %Y Wiren, Mats %S Proceedings of the Sixth International Workshop on Parsing Technologies %D 2000 %8 feb 23 25 %I Association for Computational Linguistics %C Trento, Italy %F uchimoto-etal-2000-dependency %X We describe a new model for dependency structure analysis. This model learns the relationship between two phrasal units called bunsetsus as three categories; ‘between’, ‘dependent’, and ‘beyond’, and estimates the dependency likelihood by considering not only the relationship between two bunsetsus but also the relationship between the left bunsetsu and all of the bunsetsus to its right. We implemented this model based on the maximum entropy model. When using the Kyoto University corpus, the dependency accuracy of our model was 88%, which is about 1% higher than that of the conventional model using exactly the same features. %U https://aclanthology.org/2000.iwpt-1.43 %P 321-322
Markdown (Informal)
[Dependency Model using Posterior Context](https://aclanthology.org/2000.iwpt-1.43) (Uchimoto et al., IWPT 2000)
- Dependency Model using Posterior Context (Uchimoto et al., IWPT 2000)
ACL
- Kiyotaka Uchimoto, Masaki Murata, Satoshi Sekine, and Hitoshi Isahara. 2000. Dependency Model using Posterior Context. In Proceedings of the Sixth International Workshop on Parsing Technologies, pages 321–322, Trento, Italy. Association for Computational Linguistics.