Question Answering
Published in Machine & deep learning project, 2021
This is a mini project on question answering task using natural language processing techniques. The data used for the training is saved in this github repository. In this project of question answering we employed the method of text extraction to retrieve answers to a given question given the context from which the question was asked. The data used is a smaller portion of the entire dataset with full description here. Due to inadequate resources for training the model we resolved to a subset of the entire dataset and utilised the Google provided GPU to aid with the training. Check out the notebook
Recommended credit: I. K. Anni, Kobby. (2021). “Deep learning mini project.” Machine & deep learning projects. 1(5).