Sequential Labeling

Updated to py3.6, tf 1.0

Sequential Labeling

• HMM
• BILSTM-CRF

Input Format

The first column is the char, the second column is the label(BMEO), there is an empty line between two sentences

N B

B M

A E

D O

an empty line

Z O

Z O

Z O

Z O

Z O

Output Format

NBAD<@>NBA

ZZZZZ<@>

Train

python train.py train.in model -v validation.in -c char_emb -e 10 -g 2

• train.in, the path of the train file
• model, the path of the saved model
• v, the path of the validation file(optional, otherwise split the train set into train and val)
• c, the char embedding file(optional)
• e, the number of epoch(optional, default 100)
• g, the id of gpu(optional, default 0)

Test

python test.py model test.in test.out -c char_emb -g 2

• model, the path of model file
• test.in, the path of test file
• test.out, the path of predict file of test
• c, the char embedding file(optional)
• g, the id of gpu(optional, default 0)

Embedding

The first line of the embedding file is the number of char and embedding dimension, seperating by space, e.g 5 10. The remaining line is the char and embedding vector, seperating by space, e.g N dim1 ... dim 10

Installation Dependencies

• python 3.6
• tensorflow 1.0
• numpy
• pandas

References

• https://github.com/manubharghav/NER
• https://github.com/glample/tagger