cswangjiawei/pytorch-NER
This is the implemention of named entity recognition model
This helps data scientists and NLP researchers extract specific types of information, like names, locations, and organizations, from text. You input raw text, and it outputs the same text with identified entities categorized and highlighted. This is ideal for anyone working with unstructured text data who needs to automatically identify and classify key pieces of information.
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Use this if you need a flexible way to implement and experiment with different neural network architectures for named entity recognition in your text analysis projects.
Not ideal if you need a ready-to-use, pre-trained model for immediate deployment without deep customization or experimentation with underlying model architectures.
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Language
Python
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Last pushed
Jul 07, 2020
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