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Advanced entity extraction (NER) with GPT-NeoX 20B without annotation, and a comparison with spaCy

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Published on 06/02/23 / In How-to & Learning

In this video we show how easy it is to extract structured data from an unstructured text, thanks to entity extraction (NER) on NLP Cloud.

More specifically we compare spaCy and GPT-NeoX 20B for entity extraction.
The great thing with GPT-NeoX 20B is that you can extract any new kind of entity without having to train/annotate a new model for that!

See more details about how to perform advanced entity extraction with GPT-NeoX thanks to few-shot learning here: https://nlpcloud.com/effective....ly-using-gpt-j-gpt-n

Here is the NLP Cloud documentation about entity extraction: https://docs.nlpcloud.com/#entities

And here is the NLP Cloud playground to easily play with advanced NER: https://nlpcloud.com/home/playground/ne

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