Title
Efficiency, Robustness, and Accuracy in Picky Chart Parsing.
Abstract
This paper describes Picky, a probabilistic agenda-based chart parsing algorithm which uses a technique called probabilistic prediction to predict which grammar rules are likely to lead to an acceptable parse of the input. Using a suboptimal search method, Picky significantly reduces the number of edges produced by CKY-like chart parsing algorithms, while maintaining the robustness of pure bottom-up parsers and the accuracy of existing probabilistic parsers. Experiments using Picky demonstrate how probabilistic modelling can impact upon the efficiency, robustness and accuracy of a parser.
Year
DOI
Venue
1992
10.3115/981967.981973
ACL '79 Proceedings of the 17th annual meeting on Association for Computational Linguistics
Keywords
DocType
Volume
probabilistic modelling,pure bottom-up parsers,probabilistic agenda-based chart,acceptable parse,probabilistic parsers,picky chart parsing,suboptimal search method,probabilistic prediction,grammar rule
Conference
abs/cmp-lg/9405006
ISSN
Citations 
PageRank 
Proceedings, ACL 1992
10
11.43
References 
Authors
9
2
Name
Order
Citations
PageRank
David M. Magerman1726512.15
Carl Weir25623.55