Lookahead Features

otherentity ID: lookaheadfeatures

Related Papers

Shift-Reduce Constituent Parsing with Neural Lookahead Features

Authors: nan

Publication: TIPSTER (2017)

DOI: nan

AbstractTransition-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 parser stack, which consists of a …...

27272

Recursive Subtree Composition in LSTM-Based Dependency Parsing

Authors: nan

Publication: TIPSTER (2019)

DOI: nan

AbstractThe need for tree structure modelling on top of sequence modelling is an open issue in neural dependency parsing. We investigate the impact of adding a tree layer on top …...

22125