Table 2: Hyper-parameters of the models built in our experiments, where † indicates the ones when using LM-BLSTM for deriving word representations and ‡ indicates the ones when using CNN-BLSTM.
semi-Markov conditional random fields (SCRFs) (Sarawagi and Cohen, 2005) have been proposed for the tasks of assigning labels to the segments of input sequences, e.g., NER.