Incremental Discontinuous Phrase Structure Parsing with the GAP Transition
Maximin Coavoux, Benoît Crabbé · 2017
This article introduces a novel transition system for discontinuous lexicalized constituent parsing called SR-GAP.It is an extension of the shift-reduce algorithm with an additional gap transition.Evaluation on two German treebanks shows that SR-GAP outperforms the previous best transitionbased discontinuous parser (Maier, 2015) by a large margin (it is notably twice as accurate on the prediction of discontinuous constituents), and is competitive with the state of the art (Fernández-González and Martins, 2015).As a side contribution, we adapt span features (Hall et al., 2014) to discontinuous parsing.