Improving accuracy in Named Entity Recognition
I currently work with a Fintech start-up and we run into a compliance requirements to remove personal names from a bunch of texts.
We resorted to looking into Azure ML and yes, it appears promising by delivering a c. 80% accuracy in screening out individual names.
Yet - it's not perfect. We have a database of hundreds of thousands of verified names and can contribute if needed.
It would be grateful if we will be approached by a Microsoft person and we can share this database if see fit. trust the wealth of data we have would greatly improve the accuracy