Dependency Parsing with LSTMs: An Empirical Evaluation
Table 1: Google Web Treebank LAS Result
['[BOLD] WSJ', '[BOLD] F - T', '[BOLD] F - C', '[BOLD] LSTM']
Our LSTM model outperforms the feedforward baseline with the same Tanh activation function (87.5 vs 86.4 on WSJ Test), while achieving competitive accuracy with the Cubic baseline.