This a fork of: https://github.com/kamalkraj/BERT-NER

It contains some local modifications to run it on a different set of NER-classes.

https://github.com/KBNLresearch/gado2/blob/main/run_ner.py#L157

https://github.com/KBNLresearch/gado2/blob/main/ner_paper.py#L21

The data/train.txt is a combination of Conll-2002 and input from various Indonesian / Dutch newspapers, this is not the final set used for evaluation, more info soon..

The transformer used to make trainng files from (Prima) page-xml is also included (pagexml_to_bio.py). In this project we used export pagexml files from: https://transkribus.eu/.

Trained models are available here: https://huggingface.co/willemjan/

Remove old training data and model:

$ rm data/train.txt # Remove old training data.

$ rm -rf out_base # Remove old trained model.

The page-xml export: https://readcoop.eu/transkribus/howto/how-to-export-documents-from-transkribus/

Download and unack the export zip, and look for the 'page' directory.

Convert the page-xml to the bio format using the following command:

$ ./pagexml_to_bio.py --page_dir <<Path to Pagefiles dir>> --output_filename data/train.txt --debug 1

More info on .bio format can be found here: https://natural-language-understanding.fandom.com/wiki/Named_entity_recognition#BIO

Insert GPU and run:

$ ./train.sh

The model will be outputed in the directory 'out_base'.

The trained model can be used by running: ./api.py

This creates a listening port which can be queried like so:

$ curl -s 'http://localhost:8000/predict/?text=Willem jan is een liefhebber van Gado-gado.&model=nl2'

{
  "result": [
    {
      "confidence": 0.9999511241912842,
      "tag": "B-per",
      "word": "Willem"
    },
    {
      "confidence": 0.9999241828918457,
      "tag": "I-per",
      "word": "jan"
    },
    {
      "confidence": 0.9999983310699463,
      "tag": "O",
      "word": "is"
    },
    {
      "confidence": 0.9999984502792358,
      "tag": "O",
      "word": "een"
    },
    {
      "confidence": 0.9999983310699463,
      "tag": "O",
      "word": "liefhebber"
    },
    {
      "confidence": 0.9999983310699463,
      "tag": "O",
      "word": "van"
    },
    {
      "confidence": 0.9998682737350464,
      "tag": "B-misc",
      "word": "Gado-gado"
    },
    {
      "confidence": 0.9999983310699463,
      "tag": "O",
      "word": "."
    }
  ]
}