Improving the NER model with patent texts | SpaCy, Prodigy and a bit of magic

Named-entity recognition (NER) — is a subtask of information extraction that seeks to locate and classify named entities … into pre-defined categories such as person names, organizations, locations, medical codes, time expressions, quantities, monetary values, percentages, etc.… NER is also known simply as entity identification, entity chunking and entity extraction.

In a nutshell, we recognise meaningful entities in the text and classify them according to the categories.

Why is it useful?

It can be helpfull in many …

machine learning named-entity-recognition ner nlp patent patents spacy