Named Entity Recognition (NER)

Background

Named Entity Recognition (NER) is the task of picking out named entities – people, places, organizations etc. – from a text. For instance, “Ola Nordmann” is a named entity, and so is “Nasjonalbiblioteket”.

In the sentence “Per i dag er status at Per og Dag har startet firmaet Per og Dag.” (As of today, Per and Dag has established the company Per and Dag), humans are able to work out that “Per” and “Dag” are people, and “Per og Dag” is a company, even without capital letters. Writing rules to accomplish this, however, is very hard. Thus the solution is to feed a language model a lot of labeled examples of where named entities occur in a text and which type of entity it is.

Models

Architecture

Our service

For NER, we have two API endpoints: