Dependency Model using Posterior Context

Kiyotaka Uchimoto; Masaki Murata; Satoshi Sekine; Hitoshi Isahara

Dependency Model using Posterior Context

Kiyotaka Uchimoto, Masaki Murata, Satoshi Sekine, Hitoshi Isahara

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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, 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)
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PDF:: https://aclanthology.org/2000.iwpt-1.43.pdf

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@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
      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

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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.