A Dynamic Confusion Score for Dependency Arc Labels
Sambhav Jain, Bhasha Agrawal · International Joint Conference on Natural Language Processing · 2013
In this paper we propose an approach to dynamically compute a confusion score for dependency arc labels, in typed dependency parsing framework. This score accompanies the parsed output and aims to administer an informed account of parse correctness, detailed down to each edge of the parse. The methodology explores the confusion encountered by the oracle of a data driven parser, in predicting an arc label. We support our hypothesis by empirically illustrating, for 20 languages, that the labels with a high confusion score are notably the predominant parsing errors.