Active Learning in NLP My current year is finishing with the start of new research connected with Active Learning and Uncertainty Estimation of different types of NLP models. Currently, I am only sorting out with the topic and literature, but I have already found good resources for the first steps in the field. Here they are: 1. Active Learning Literature Survey: the main book about Active Learning in General. 2. A literature survey of active machine learning in the context of natural language processing: the main survey of Active Learning Techniques specifically for NLP. 3. A Survey of Deep Active Learning: the paper is of 2021, so the modern status of the field is here. 4. How Certain is Your Transformer?: and, of course, I cannot not mention the recent paper from our lab about Uncertainty Estimation of Transformer-based NLP models. If you have any other cool sources about Active Learning topic, you are very welcome to share! I will continue this literature survey in my future posts. Hope that there will be a lot of interesting🕵️‍♀️