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Table 1 System hyperparameters for each PharmaCoNER run

From: Analyzing transfer learning impact in biomedical cross-lingual named entity recognition and normalization

Parameter

Run 1

Run 2

Run 3

Run 4

Sense-disambiguation embedding dimension

128

128

128

128

Pre-trained word embeddings

FastText-SBC + Reddit

W2V-SBWC + Reddit

FastText-SBWC + Reddit

SNOMED-SBC + Reddit

Word embeddings dimension

300

300

300

300

Character embedding dimension

50

50

50

50

Hidden layers dimension (for each LSTM)

100

100

100

100

Learning method

SGD

SGD

SGD

SGD

Dropout rate

0.5

0.5

0.5

0.5

Learning rate

0.005

0.005

0.005

0.005

Epochs

100

100

100

100