5.2. Models to compare
We conducted experiments to compare the performance of the models presented in
Table 6 using the method described in Section 5.1. The baseline model uses CRFs
with manually designed features. Our purpose is to investigate the task by using a
traditional statistical learning model
Table 6. Models to compare Model Word layer Sentence layer Inference layer Baseline CRFs CNNs-BiLSTM-Softmax CNNs BiLSTM Softmax CNNs-BiLSTM-CRFs CNNs BiLSTM CRFs BiLSTM-BiLSTM-Softmax BiLSTM BiLSTM Softmax BiLSTM-BiLSTM-CRFs BiLSTM BiLSTM CRFs Note that for each of neural models (CNNs-BiLSTM-Softmax, CNNs-BiLSTM-
CRFs, BiLSTM-BiLSTM-Softmax, BiLSTM-BiLSTM-CRFs), we conducted
experiments with two variants of the model: 1) using only automatically learned
features; 2) using both automatically learned and manually designed features. The
purpose is to investigate the impact of manually designed features on the performance
of neural models.
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