version number: 1.0.1 author: Decheng Yang
deep sequence labeling toolkit
Add new features:
- support bilstm+crf
- support bert
- support character level feature: char cnn or char lstm
- support pos tag feature
- support user defined domain dictionary (e.g. company)
- support "BIOLU" format for sequence evaluation
- easy to customize model by config file, see examples/ner_news_train.py
To install use pip:
$ pip install deepsequence
Or clone the repo:
$ git clone http://git.xxxx.com/deepsequence.git
$ python setup.py install
TBD
train ner model for news:
see detail in /examples/ner_news_train.py:
use bilstm:
python ner_news_train.py --config bilstm_parameters.json
use bert:
python ner_news_train.py --config bert_parameters.json
TBD