Below you will find pages that utilize the taxonomy term “Question Answering”
Post
Project 7: Extractive QA with a Fine-Tuned BERT
1. Overview In this project, we will build a Bidirectional Encoder Representations from Transformers (BERT) based model for a different Natural Language Processing task – Question Answering. The model will be fine-tuned on the Conversational Question Answering Challenge (CoQA) dataset from Stanford University.
The Python Notebook containing the complete model development process and the data used in this project can be found at Google Drive.
2. Question Answering (QA) Question Answering, particularly Extraction-based Question Answering, is another type of Natural Language Processing task.