Babelscape/cner
CNER: Concept and Named Entity Recognition
This helps data scientists and NLP researchers automatically identify and extract key concepts and named entities from text. You input raw text documents, and it outputs the text with specific words or phrases tagged as entities like people, organizations, locations, or abstract concepts. It's designed for those who need to categorize and understand large volumes of unstructured text data.
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Use this if you need to evaluate the performance of your own Concept and Named Entity Recognition models against a benchmark dataset.
Not ideal if you're looking for a user-friendly application to directly apply CNER to your documents without any coding or model evaluation steps.
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Jul 15, 2024
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