Borach Jansema, a machine learning engineer at Slimmer AI, recently published an article in Towards Data Science entitled, “Unlocking Inclusivity Possibilities with Polyglot-NER”, in which he talks about challenges faced when using Named Entity Recognition on non-English data sets.

The English bias prevalent in NER is effectively leaving out a considerable part of the world from this important technological advancement.

In this article, Borach explores the importance of polyglot models and goes into detail on specific models. In later posts, he plans to focus on tests and results.

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