Heuristics and Parse Ranking

Srinivas Bangalore; Christine Doran; Seth Kulick

Heuristics and Parse Ranking

B. Srinivas, Christine Doran, Seth Kulick

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Abstract

There are currently two philosophies for building grammars and parsers – Statistically induced grammars and Wide-coverage grammars. One way to combine the strengths of both approaches is to have a wide-coverage grammar with a heuristic component which is domain independent but whose contribution is tuned to particular domains. In this paper, we discuss a three-stage approach to disambiguation in the context of a lexicalized grammar, using a variety of domain independent heuristic techniques. We present a training algorithm which uses hand-bracketed treebank parses to set the weights of these heuristics. We compare the performance of our grammar against the performance of the IBM statistical grammar, using both untrained and trained weights for the heuristics.

Anthology ID:: 1995.iwpt-1.27
Volume:: Proceedings of the Fourth International Workshop on Parsing Technologies
Month:: September 20-24
Year:: 1995
Address:: Prague and Karlovy Vary, Czech Republic
Editors:: Eva Hajicova, Bernard Lang, Robert Berwick, Harry Bunt, Bob Carpenter, Ken Church, Aravind Joshi, Ronald Kaplan, Martin Kay, Makoto Nagao, Anton Nijholt, Mark Steedman, Henry Thompson, Masaru Tomita, K. Vijay-Shanker, Yorick Wilks, Kent Wittenburg
Venues:: IWPT | WS
SIG:: SIGPARSE
Publisher:: Association for Computational Linguistics
Note:
Pages:: 224–233
Language:
URL:: https://aclanthology.org/1995.iwpt-1.27/
DOI:
Bibkey:
Cite (ACL):: B. Srinivas, Christine Doran, and Seth Kulick. 1995. Heuristics and Parse Ranking. In Proceedings of the Fourth International Workshop on Parsing Technologies, pages 224–233, Prague and Karlovy Vary, Czech Republic. Association for Computational Linguistics.
Cite (Informal):: Heuristics and Parse Ranking (Srinivas et al., IWPT 1995)
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PDF:: https://aclanthology.org/1995.iwpt-1.27.pdf

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@inproceedings{srinivas-etal-1995-heuristics,
    title = "Heuristics and Parse Ranking",
    author = "Srinivas, B.  and
      Doran, Christine  and
      Kulick, Seth",
    editor = "Hajicova, Eva  and
      Lang, Bernard  and
      Berwick, Robert  and
      Bunt, Harry  and
      Carpenter, Bob  and
      Church, Ken  and
      Joshi, Aravind  and
      Kaplan, Ronald  and
      Kay, Martin  and
      Nagao, Makoto  and
      Nijholt, Anton  and
      Steedman, Mark  and
      Thompson, Henry  and
      Tomita, Masaru  and
      Vijay-Shanker, K.  and
      Wilks, Yorick  and
      Wittenburg, Kent",
    booktitle = "Proceedings of the Fourth International Workshop on Parsing Technologies",
    month = sep # " 20-24",
    year = "1995",
    address = "Prague and Karlovy Vary, Czech Republic",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/1995.iwpt-1.27/",
    pages = "224--233",
    abstract = "There are currently two philosophies for building grammars and parsers {--} Statistically induced grammars and Wide-coverage grammars. One way to combine the strengths of both approaches is to have a wide-coverage grammar with a heuristic component which is domain independent but whose contribution is tuned to particular domains. In this paper, we discuss a three-stage approach to disambiguation in the context of a lexicalized grammar, using a variety of domain independent heuristic techniques. We present a training algorithm which uses hand-bracketed treebank parses to set the weights of these heuristics. We compare the performance of our grammar against the performance of the IBM statistical grammar, using both untrained and trained weights for the heuristics."
}

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%0 Conference Proceedings
%T Heuristics and Parse Ranking
%A Srinivas, B.
%A Doran, Christine
%A Kulick, Seth
%Y Hajicova, Eva
%Y Lang, Bernard
%Y Berwick, Robert
%Y Bunt, Harry
%Y Carpenter, Bob
%Y Church, Ken
%Y Joshi, Aravind
%Y Kaplan, Ronald
%Y Kay, Martin
%Y Nagao, Makoto
%Y Nijholt, Anton
%Y Steedman, Mark
%Y Thompson, Henry
%Y Tomita, Masaru
%Y Vijay-Shanker, K.
%Y Wilks, Yorick
%Y Wittenburg, Kent
%S Proceedings of the Fourth International Workshop on Parsing Technologies
%D 1995
%8 sep 20 24
%I Association for Computational Linguistics
%C Prague and Karlovy Vary, Czech Republic
%F srinivas-etal-1995-heuristics
%X There are currently two philosophies for building grammars and parsers – Statistically induced grammars and Wide-coverage grammars. One way to combine the strengths of both approaches is to have a wide-coverage grammar with a heuristic component which is domain independent but whose contribution is tuned to particular domains. In this paper, we discuss a three-stage approach to disambiguation in the context of a lexicalized grammar, using a variety of domain independent heuristic techniques. We present a training algorithm which uses hand-bracketed treebank parses to set the weights of these heuristics. We compare the performance of our grammar against the performance of the IBM statistical grammar, using both untrained and trained weights for the heuristics.
%U https://aclanthology.org/1995.iwpt-1.27/
%P 224-233

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Markdown (Informal)

[Heuristics and Parse Ranking](https://aclanthology.org/1995.iwpt-1.27/) (Srinivas et al., IWPT 1995)

Heuristics and Parse Ranking (Srinivas et al., IWPT 1995)

ACL

B. Srinivas, Christine Doran, and Seth Kulick. 1995. Heuristics and Parse Ranking. In Proceedings of the Fourth International Workshop on Parsing Technologies, pages 224–233, Prague and Karlovy Vary, Czech Republic. Association for Computational Linguistics.