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URL title: Few-shot NER: Entity Extraction Without Annotation And Training Based On GPT
URL description: Pre-trained entity extraction models based on spaCy or NLTK give great results but require a tedious annotation and training process in order to detect non-native entities like job titles, VAT numbers, drugs, etc. Thanks to large language models like GPT-3, GPT-J, and GPT-NeoX, it is now possible to extract any type of entities thanks to few-shot learning, without any annotation and training. In this article, we're showing how to do that.
URL keywords: nlp, ner, entity extraction, structured data extraction, named entity recognition, spacy, nltk, annotation, training, gpt-3, gpt
URL last crawled: 2024-07-25
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