The increasing use of neural networks has also led to a convergence in feature representations and learning algorithms for transition-based and graph-based parsers.
most recent systems rely on an encoder, typically in the form of a BiLSTM, that provides contextualized representations of the input words as input to the scoring of transitions -in transition-based parsersor of dependency arcs -in graph-based parsers.