LM-LSTM-CRF documentation

This project provides high-performance character-aware sequence labeling tools and tutorials. The implementation is based on the PyTorch library.

LM-LSTM-CRF achieves F1 score of 91.71+/-0.10 on CoNLL03 NER task, without using any additional corpus.

Indices and tables