Empower Sequence Labeling with Task-Aware Neural Language Model
Table 3: Hyper-parameters of LM-LSTM-CRF.
['Layer', 'Parameter', 'POS', 'NER', 'chunking']
For the hidden state size of LSTM, we expand it from 200 to 300, because introducing additional knowledge allows us to train a larger network. We will further discuss this change later. Since the CoNLL00 is similar to the CoNLL03 NER dataset, we conduct experiments with the same parameters on both tasks.