BiLSTM-CRF-PyTorch-demo

A simple baseline model for Named Entity Recognition.

Requirement

PyTorch 1.2.0
NumPy 1.17
Python 3.6
GloVe pre-trained word vectors:
- Download pre-trained word vectors here.
- Extract the glove.840B.300d.zip to the /glove/ folder.

Based on the shared task of Named Entity Recognition on CoNLL 2003 (English corpus). [link]

python train.py

Lample, G., Ballesteros, M., Subramanian, S., Kawakami, K., & Dyer, C. "Neural Architectures for Named Entity Recognition." Proceedings of NAACL-HLT (pp. 260-270). 2016. [pdf]
Linear-chain conditional random field implemented by kmkurn: pytorch-crf

MIT

Name		Name	Last commit message	Last commit date
Latest commit History 5 Commits
datasets		datasets
glove		glove
.gitattributes		.gitattributes
LICENSE		LICENSE
README.md		README.md
data_utils.py		data_utils.py
layers.py		layers.py
loss_func.py		loss_func.py
models.py		models.py
torchcrf.py		torchcrf.py
train.py		train.py