Check Our New NER Toolkit🚀🚀🚀
- Inference:
- LightNER: inference w. models pre-trained / trained w. any following tools, efficiently.
- Training:
- LD-Net: train NER models w. efficient contextualized representations.
- VanillaNER: train vanilla NER models w. pre-trained embedding.
- Distant Training:
- AutoNER: train NER models w.o. line-by-line annotations and get competitive performance.
This project provides high-performance character-aware sequence labeling tools, including [Training](#usage), [Evaluation](#evaluation) and [Prediction](#prediction).
Details about LM-LSTM-CRF can be accessed here, and the implementation is based on the PyTorch library.
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