@inproceedings{ciravegna-lavelli-1997-controlling,
title = "Controlling Bottom-Up Chart Parsers through Text Chunking",
author = "Ciravegna, Fabio and
Lavelli, Alberto",
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-1.8",
pages = "30--41",
abstract = "In this paper we propose to use text chunking for controlling a bottom-up parser. As it is well known, during analysis such parsers produce many constituents not contributing to the final solution(s). Most of these constituents are introduced due to t he parser inability of checking the input context around them. Preliminary text chunking allows to focus directly on the constituents that seem more likely and to prune the search space in the case some satisfactory solutions are found. Preliminary experiments show that a CYK-like parser controlled through chunking is definitely more efficient than a traditional parser without significantly losing in correctness. Moreover the quality of possible partial results produced by the controlled parser is high. The strategy is particularly suited for tasks like Information Extraction from text (IE) where sentences are often long and complex and it is very difficult to have a complete coverage. Hence, there is a strong necessity of focusing on the most likely solutions; furthermore, in IE the quality of partial results is important .",
}
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%0 Conference Proceedings
%T Controlling Bottom-Up Chart Parsers through Text Chunking
%A Ciravegna, Fabio
%A Lavelli, Alberto
%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 ciravegna-lavelli-1997-controlling
%X In this paper we propose to use text chunking for controlling a bottom-up parser. As it is well known, during analysis such parsers produce many constituents not contributing to the final solution(s). Most of these constituents are introduced due to t he parser inability of checking the input context around them. Preliminary text chunking allows to focus directly on the constituents that seem more likely and to prune the search space in the case some satisfactory solutions are found. Preliminary experiments show that a CYK-like parser controlled through chunking is definitely more efficient than a traditional parser without significantly losing in correctness. Moreover the quality of possible partial results produced by the controlled parser is high. The strategy is particularly suited for tasks like Information Extraction from text (IE) where sentences are often long and complex and it is very difficult to have a complete coverage. Hence, there is a strong necessity of focusing on the most likely solutions; furthermore, in IE the quality of partial results is important .
%U https://aclanthology.org/1997.iwpt-1.8
%P 30-41
Markdown (Informal)
[Controlling Bottom-Up Chart Parsers through Text Chunking](https://aclanthology.org/1997.iwpt-1.8) (Ciravegna & Lavelli, IWPT 1997)
ACL