DocSum

Deep Reinforcement Learning For Sequence to Sequence Models

Code for ACL 2018 paper: "Fast Abstractive Summarization with Reinforce-Selected Sentence Rewriting. Chen and Bansal"

Automatic summarizer text in Swift

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

Abstractive summarisation using Bert as encoder and Transformer Decoder

A Abstractive Summarization Implementation with Transformer and Pointer-generator

Pointer-generator reinforced seq2seq summarization in PyTorch

Machine learning models to automatically summarise scientific papers

Implementation of abstractive summarization using LSTM in the encoder-decoder architecture with local attention.

Abstractive Text Summarization using Transformer