An interactive demo for "Get To The Point: Summarization with Pointer-Generator Networks", available here by Abigail See, Peter J Liu, and Christopher Manning.
I highly advise to experiment it with Google Colab as it provides a base working environment, and there are a few old dependencies.
This notebook is made in the context of the Natural Language Processing course with Telecom Paris, in IP Paris's Master for Data Science ⚔️
This repository contains code from various sources, and its only purpose was to put together a small demo of what can bedone with Pointer-Generator networks, following the example of the excellent repos of Abigail See.
Sources: Base network repo, visualizer starting code and datafiles generation for pgn.