Models to perform neural summarization (extractive and abstractive) using machine learning transformers and a tool to convert abstractive summarization datasets to the extractive task.

A simple implementation of transformer for Abstractive Summarization with Copy and Coverage.(PyTorch)

BERT-based extractive summarizer for long legal document using a divide-and-conquer approach

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👨‍🎓 Transformer for Summary Generation . Also kubectl, wandb, dvc 📝