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Entity recognition (organization, location, items, serial numbers) and entity normalization (organization, names) with character-level Convolutional neural network

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chingjunehao/Entity_Recognition-Normalization

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Entity_Recognition-Normalization

Entity recognition (organization, location, items, serial numbers) and entity normalization (organization, names)

Folder structure

  • /data: contains all the data that are being used in this project.
  • /trained_weights: contains weights that trained on the data.
  • /webApp: contains a simple flask API endpoint for the model.
  • /Entity_Normalization: contains .py file to preprocess the data as well as the .py file to train the model.
  • /Entity_Recognition: contains .py file to preprocess the data, .py file to train the model and .py file to test the trained model.
  • requirements.txt: packages that are required to run this repo.

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Entity recognition (organization, location, items, serial numbers) and entity normalization (organization, names) with character-level Convolutional neural network

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