From Part of Speech Tagging to Memory-based Deep Syntactic Analysis

Emmanuel Giguet; Jacques Vergne

From Part of Speech Tagging to Memory-based Deep Syntactic Analysis

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Abstract

This paper presents a robust system for deep syntactic parsing of unrestricted French. This system uses techniques from Part-of-Speech tagging in order to build a constituent structure and uses other techniques from dependency grammar in an original framework of memories in order to build a functional structure. The two structures are build simultaneously by two interacting processes. The processes share the same aim, that is, to recover efficiently and reliably syntactic information with no explicit expectation on text structure.

Anthology ID:: 1997.iwpt-1.12
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:: 77–88
Language:
URL:: https://aclanthology.org/1997.iwpt-1.12/
DOI:
Bibkey:
Cite (ACL):: Emmanuel Giguet and Jacques Vergne. 1997. From Part of Speech Tagging to Memory-based Deep Syntactic Analysis. In Proceedings of the Fifth International Workshop on Parsing Technologies, pages 77–88, Boston/Cambridge, Massachusetts, USA. Association for Computational Linguistics.
Cite (Informal):: From Part of Speech Tagging to Memory-based Deep Syntactic Analysis (Giguet & Vergne, IWPT 1997)
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PDF:: https://aclanthology.org/1997.iwpt-1.12.pdf

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@inproceedings{giguet-vergne-1997-part,
    title = "From Part of Speech Tagging to Memory-based Deep Syntactic Analysis",
    author = "Giguet, Emmanuel  and
      Vergne, Jacques",
    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-1.12/",
    pages = "77--88",
    abstract = "This paper presents a robust system for deep syntactic parsing of unrestricted French. This system uses techniques from Part-of-Speech tagging in order to build a constituent structure and uses other techniques from dependency grammar in an original framework of memories in order to build a functional structure. The two structures are build simultaneously by two interacting processes. The processes share the same aim, that is, to recover efficiently and reliably syntactic information with no explicit expectation on text structure."
}

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%0 Conference Proceedings
%T From Part of Speech Tagging to Memory-based Deep Syntactic Analysis
%A Giguet, Emmanuel
%A Vergne, Jacques
%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 giguet-vergne-1997-part
%X This paper presents a robust system for deep syntactic parsing of unrestricted French. This system uses techniques from Part-of-Speech tagging in order to build a constituent structure and uses other techniques from dependency grammar in an original framework of memories in order to build a functional structure. The two structures are build simultaneously by two interacting processes. The processes share the same aim, that is, to recover efficiently and reliably syntactic information with no explicit expectation on text structure.
%U https://aclanthology.org/1997.iwpt-1.12/
%P 77-88

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Markdown (Informal)

[From Part of Speech Tagging to Memory-based Deep Syntactic Analysis](https://aclanthology.org/1997.iwpt-1.12/) (Giguet & Vergne, IWPT 1997)

From Part of Speech Tagging to Memory-based Deep Syntactic Analysis (Giguet & Vergne, IWPT 1997)

ACL

Emmanuel Giguet and Jacques Vergne. 1997. From Part of Speech Tagging to Memory-based Deep Syntactic Analysis. In Proceedings of the Fifth International Workshop on Parsing Technologies, pages 77–88, Boston/Cambridge, Massachusetts, USA. Association for Computational Linguistics.