Integrating Dictionary Feature into A Deep Learning Model for Disease Named Entity Recognition
Table 2: Parameters and their values used for training the proposed model
['[BOLD] Parameter', '[BOLD] Value']
In this work, the dimension of character-level embeddings is set to 100 and that of the pre-trained word embeddings to 200. Different values for these parameters have been experimented and we set the values which reported the best performance for our experiments.