This repository is the implemented code based on PyTorch of our paper 《Improving Low Resource Named Entity Recognition using Cross-lingual Knowledge Transfer》,our approach achieved improvements on two low resource languages (including Dutch and Spanish) and Chinese OntoNotes 4.0 dataset.

• LR-NER
  • 1 Requirement
  • 2 Installation
    • PyTorch
    • Dependencies
  • 3 Usage
  • 4 Dataset
  • 5 Reference

Python : 2.7
PyTorch : >=0.3.0

This code is based on PyTorch. You can find installation instructions here.

You can install dependencies like this :

pip install -r requirements.txt

The default configuration is in the file demo.train.config and demo.decode.config.You can modify the parameters as you want.

In training status: : CUDA_VISIBLE_DEVICES=0 python main.py --config demo.train.config

In decoding status : python main.py --config demo.decode.config

NCRF++: An Open-source Neural Sequence Labeling Toolkit

NER-pytorch