Neural Greedy Constituent Parsing with Dynamic Oracles
Maximin Coavoux, Benoît Crabbé · 2016
Dynamic oracle training has shown substantial improvements for dependency parsing in various settings, but has not been explored for constituent parsing.The present article introduces a dynamic oracle for transition-based constituent parsing.Experiments on the 9 languages of the SPMRL dataset show that a neural greedy parser with morphological features, trained with a dynamic oracle, leads to accuracies comparable with the best non-reranking and non-ensemble parsers.