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Legal Text Annotation and Entity Recognition (Project for Applied Machine Learning in Computational Linguistics course at Indian University, Bloomington)

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To build corpus

  1. Keep TSV data files in the same folder as the MLCL - Project - Corpus.ipynb

  2. The notebook would create a file train.txt in the path data_folder = './project/example/ner/test/'

    This would be the corpus to be used in the MLCL_Project.ipynb file.

To train model

  1. Keep train.txt in the same folder as the file MLCL_Project.ipynb
  2. The resultant model files (training.png, best-model.pt) will be in the path ./project/example/ner

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Legal Text Annotation and Entity Recognition (Project for Applied Machine Learning in Computational Linguistics course at Indian University, Bloomington)

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