most citedShift-Reduce Constituent Parsing with Neural Lookahead Features

2 citations · 2 across the 1 of their papers we have counts for

collaborators

1 paper

cs.CL2016★ 2 cited

Shift-Reduce Constituent Parsing with Neural Lookahead Features

Jiangming Liu, Yue Zhang

Transition-based models can be fast and accurate for constituent parsing. Compared with chart-based models, they leverage richer features by extracting history information from a p…