A Multilingual Dependency Analysis System Using Online Passive-Aggressive Learning
نویسندگان
چکیده
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. Experimental results show that the system score is better than the average score among the participating systems.
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تاریخ انتشار 2007