The cold start problem in NLP
Feb 12, 2022
The cold start problem in NLP:
- You have to train a model that detects new cryptocurrencies on Twitter, but you are not given any annotated tweets.
- You have to build a healthcare chatbot that will take action when a user reports common symptoms for a new disease: but again, nobody wants to annotate your chat logs.
How to successfully perform Named Entity Recognition when there is no hand-labeled data for the target domain?
In this tutorial I show you how to combine Rubrix and skweak to rapidly produce annotated data from rules based on expert knowledge, with minimal manual effort.
