@inproceedings {5627, title = {Incremental Discontinuous Phrase Structure Parsing with the GAP Transition}, year = {2017}, month = {April}, pages = {1259{\textendash}1270}, publisher = {Association for Computational Linguistics}, address = {Valencia, Spain}, abstract = {

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 transition-based 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 (Fern\ández-Gonz\ález and Martins, 2015). As a side contribution, we adapt span features (Hall et al., 2014) to discontinuous parsing.

}, url = {http://www.aclweb.org/anthology/E17-1118}, author = {Coavoux, Maximin and Beno{\^\i}t Crabb{\'e}} }