NLP Case Studies: Article Text Comprehension & Question Answering

“Most current question answering datasets will frame the task as reading comprehension where the question is about a paragraph or document and the answer often is a span in the document. Some specific tasks of reading comprehension include multi-modal machine reading comprehension and textual machine reading comprehension among others.

This course focuses on the architecture of the Q&A pipeline. First install the Transformers library and import a text comprehension model to create your Q&S pipeline. Then use Gradio to develop a user interface for answering questions about a given article.

Upon completion you ll be able to develop an application that can answer questions asked by a user about a given article.”