Paper: A Multilingual Dependency Analysis System Using Online Passive-Aggressive Learning

ACL ID D07-1126
Title A Multilingual Dependency Analysis System Using Online Passive-Aggressive Learning
Venue Conference on Empirical Methods in Natural Language Processing
Session Main Conference
Year 2007
Authors

This paper presents an online algorithm for dependency parsing problems. We propose an adaptation of the passive and aggressive online learning algorithm to the dependency parsing domain. We evaluate the proposed algorithms on the 2007 CONLL Shared Task, and report errors analysis. Experimen- tal results show that the system score is bet- ter than the average score among the partici- pating systems.