Abstract
This paper surveys three research directions in parsing. First, we look at methods for both automatically generating a set of diverse parsers and combining the outputs of different parsers into a single parse. Next, we will discuss a parsing method known as transformation-based parsing. This method, though less accurate than the best current corpus-derived parsers, is able to parse quite accurately while learning only a small set of easily understood rules, as opposed to the many-megabyte parameter files learned by other techniques. Finally, we review a recent study exploring how people and machines compare at the task of creating a program to automatically annotate noun phrases.- Anthology ID:
- 2000.iwpt-1.2
- 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:
- 1–5
- Language:
- URL:
- https://aclanthology.org/2000.iwpt-1.2
- DOI:
- Bibkey:
- Cite (ACL):
- Eric Brill, John C. Henderson, and Grace Ngai. 2000. Automatic Grammar Induction: Combining, Reducing and Doing Nothing. In Proceedings of the Sixth International Workshop on Parsing Technologies, pages 1–5, Trento, Italy. Association for Computational Linguistics.
- Cite (Informal):
- Automatic Grammar Induction: Combining, Reducing and Doing Nothing (Brill et al., IWPT 2000)
- Copy Citation:
- PDF:
- https://aclanthology.org/2000.iwpt-1.2.pdf
Export citation
@inproceedings{brill-etal-2000-automatic,
title = "Automatic Grammar Induction: Combining, Reducing and Doing Nothing",
author = "Brill, Eric and
Henderson, John C. and
Ngai, Grace",
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-1.2",
pages = "1--5",
abstract = "This paper surveys three research directions in parsing. First, we look at methods for both automatically generating a set of diverse parsers and combining the outputs of different parsers into a single parse. Next, we will discuss a parsing method known as transformation-based parsing. This method, though less accurate than the best current corpus-derived parsers, is able to parse quite accurately while learning only a small set of easily understood rules, as opposed to the many-megabyte parameter files learned by other techniques. Finally, we review a recent study exploring how people and machines compare at the task of creating a program to automatically annotate noun phrases.",
}
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%0 Conference Proceedings %T Automatic Grammar Induction: Combining, Reducing and Doing Nothing %A Brill, Eric %A Henderson, John C. %A Ngai, Grace %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 brill-etal-2000-automatic %X This paper surveys three research directions in parsing. First, we look at methods for both automatically generating a set of diverse parsers and combining the outputs of different parsers into a single parse. Next, we will discuss a parsing method known as transformation-based parsing. This method, though less accurate than the best current corpus-derived parsers, is able to parse quite accurately while learning only a small set of easily understood rules, as opposed to the many-megabyte parameter files learned by other techniques. Finally, we review a recent study exploring how people and machines compare at the task of creating a program to automatically annotate noun phrases. %U https://aclanthology.org/2000.iwpt-1.2 %P 1-5
Markdown (Informal)
[Automatic Grammar Induction: Combining, Reducing and Doing Nothing](https://aclanthology.org/2000.iwpt-1.2) (Brill et al., IWPT 2000)
- Automatic Grammar Induction: Combining, Reducing and Doing Nothing (Brill et al., IWPT 2000)
ACL
- Eric Brill, John C. Henderson, and Grace Ngai. 2000. Automatic Grammar Induction: Combining, Reducing and Doing Nothing. In Proceedings of the Sixth International Workshop on Parsing Technologies, pages 1–5, Trento, Italy. Association for Computational Linguistics.