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fine-tune transformer-based language models for named entity recognition

Project description

A python package to fine-tune transformer-based language models for named entity recognition (NER).

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About

Transformer-based language models like BERT have had a game-changing impact on Natural Language Processing.

In order to utilize Hugging Face’s publicly accessible pretrained models for Named Entity Recognition, one needs to retrain (or “fine-tune”) them using labeled text.

nerblackbox makes this easy.

https://raw.githubusercontent.com/af-ai-center/nerblackbox/master/docs/docs/images/nerblackbox.png

You give it

  • a Dataset (labeled text)
  • a Pretrained Model (transformers)

and you get

  • the best Fine-tuned Model
  • its Performance on the dataset

Installation

pip install nerblackbox

Citation

@misc{nerblackbox,
  author = {Stollenwerk, Felix},
  title  = {nerblackbox: a python package to fine-tune transformer-based language models for named entity recognition},
  year   = {2021},
  url    = {https://github.com/af-ai-center/nerblackbox},
}

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