@inproceedings{brill-etal-2000-automatic,
title = "Automatic Grammar Induction: Combining, Reducing and Doing Nothing",
author = "Brill, Eric and
Henderson, John C. and
Ngai, Grace",
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.",
}
Markdown (Informal)
[Automatic Grammar Induction: Combining, Reducing and Doing Nothing](https://aclanthology.org/2000.iwpt-1.2) (Brill et al., IWPT 2000)
ACL