Few-shot NER: entity extraction without annotation and training based on GPT

Hello all,

After 1 year working extensively with GPT models (GPT-3, GPT-J, and GPT-NeoX), I think I now have a good view on what these NLP models are capable of. It appears that many traditional NLP tasks can now be achieved thanks to these large language models thanks to few-shot learning (aka "prompting", or "prompt engineering").

NER is a very good candidate because, thanks to these models, it is possible to extract any type of entity without ever annotating and …

annotation extraction gpt languagetechnology training