acoadmarmon/united-nations-ner
Fine-tuning a Hugging Face BERT model for the United Nations Named Entity Recognition task.
This tool helps United Nations staff, researchers, or analysts automatically identify and extract specific named entities from UN documents, such as meeting transcripts. It takes raw text from UN documents as input and outputs a list of recognized entities like committees, topics, countries, or cultural groups, saving time spent on manual identification. This is ideal for anyone who regularly works with large volumes of UN-specific text and needs to quickly find key information.
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Use this if you need to automatically extract specific United Nations-related entities from documents like General Assembly transcripts without manually scanning through text or building complex rule-based systems.
Not ideal if you're looking for a general-purpose named entity recognition tool for non-UN specific text or if you do not have technical knowledge to run the model.
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Jul 12, 2021
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