Dependency Parsing with LSTMs: An Empirical Evaluation
Table 2: Long-range Arcs Precision & Recall
['[BOLD] Dep. Length', '[EMPTY]', 'F - T', 'F - C', 'LSTM']
Despite the models’ similar overall accuracy, our LSTM model outperforms the Cubic baseline by more than 3% in both precision and recall for dependency lengths greater than 7, and that the LSTM’s performance degrades more slowly as dependency length increases.