acl acl2011 acl2011-107 acl2011-107-reference knowledge-graph by maker-knowledge-mining
Source: pdf
Author: Marco Kuhlmann ; Carlos Gomez-Rodriguez ; Giorgio Satta
Abstract: We develop a general dynamic programming technique for the tabulation of transition-based dependency parsers, and apply it to obtain novel, polynomial-time algorithms for parsing with the arc-standard and arc-eager models. We also show how to reverse our technique to obtain new transition-based dependency parsers from existing tabular methods. Additionally, we provide a detailed discussion of the conditions under which the feature models commonly used in transition-based parsing can be integrated into our algorithms.