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Code for a NER Tagger streamlit app

The app loads a BiLSTM model trained on literary texts and specifically on the English Litbank dataset (https://github.com/dbamman/litbank). It will work best on English texts from the 19th and 20th century.

The app features two pages

  • one where the user can type or copy custom text into a field and
  • one where the user can upload a txt file.

In both cases the text will be displayed with colour coded detected entities. The whole text and entities can then be downloaded in a csv file.

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Frontend for NER tagger with model

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