Automatic Grammar Induction: Combining, Reducing and Doing Nothing

Eric Brill, John C. Henderson, Grace Ngai


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
Venues:
IWPT | WS
SIG:
SIGPARSE
Publisher:
Association for Computational Linguistics
Note:
Pages:
1–5
Language:
URL:
https://www.aclweb.org/anthology/2000.iwpt-1.2
DOI:
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PDF:
http://aclanthology.lst.uni-saarland.de/2000.iwpt-1.2.pdf