LD-Net documentation

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 word-level language model, and sequence labeling with contextualized representation. The key feature of this project is the support of langugage model pruning without retraining.

Details about LD-Net can be accessed at: https://arxiv.org/abs/1804.07827.

Indices and tables