TCM_NER (Charcter-enhanced TCM books NER)

This project is built on the project "LexiconAugmentNER". We incorporate information from lexicon and dictionary into the character representations to augment the performance.

Source code description

Requirement:

Python 3.6

Pytorch 0.4.1

Jiayan0.0.21

Input format:

With each character and its label split by a whitespace in a line. The "BIOES" tag scheme is prefered.

发 B-SYM

热 E-SYM

汗 B-SYM

多 E-SYM

者 O

Trained model

The best performance model can be downloaded from the link below:

Download TCM_DSET (Extracting code:l3y3) and put it in data file.

Download best model (Extracting code:jl93) and put it in save_model file.