Hierarchically-Refined Label Attention Network for Sequence Labeling
Table 4: Comparison of the training time for one iteration and decoding speed. st indicates sentences
['[BOLD] Model', '[BOLD] train (s)', '[BOLD] test (st/s)']
Speed vs CRF. BiLSTM-LAN processes 805 and 714 sentences per second on the WSJ and CCGBank development data, respectively, outperforming BiLSTM-CRF by 3% and 19%, respectively.