This repository provides a PyTorch implementation of the 2017 research paper ‘Get To The Point: Summarization with Pointer-Generator Networks’. It implements a seq2seq model with attention that can copy tokens directly from the source text via pointer mechanism, plus optional coverage loss to reduce repetition. The model is trained on CNN/Daily Mail dataset and evaluated using ROUGE metrics.