@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 = {<p>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\&aacute;ndez-Gonz\&aacute;lez and Martins, 2015). As a side contribution, we adapt span features (Hall et al., 2014) to discontinuous parsing.</p>
},
	url = {http://www.aclweb.org/anthology/E17-1118},
	author = {Coavoux, Maximin and Beno{\^\i}t Crabb{\'e}}
}
