Active Learning in NLP
A Full Stack Deep Learning course project asking whether active learning can build better models from less good quality data.
Abstract
The aim of this project is to identify if active learning can help in building better models with less good quality data in the NLP domain. The project was undertaken as part of the Full Stack Deep Learning Course, 2021. The code is experimental rather than production ready.
Link to repository: AbinayaM02/Active_Learning_in_NLP