NLP project for question answering
Watch out! WIP
This project features the usage of NLP for question answering
This project is a personal project to learn how to use NLP for question answering. The dataset used is SQuAD from Stanford. The model used is BERT from Google.
It is a web app built with Streamlit, the aim of this project is to extract information from a text and to find the relevant context to answer a question.
References
[1] Jurafsky, D. & Martin, J.H. Speech and Language Processing (2000), Prentice Hall.