Text Summarization
cbaziotis/seq3
Source code for the NAACL 2019 paper "SEQ^3: Differentiable Sequence-to-Sequence-to-Sequence Autoencoder for Unsupervised Abstractive Sentence Compression"
Pythonno licenseupdated Jun 21, 2022
Pointer-generator reinforced seq2seq summarization in PyTorch
$ git clone https://github.com/ymfa/seq2seq-summarizer.gitSource code for the NAACL 2019 paper "SEQ^3: Differentiable Sequence-to-Sequence-to-Sequence Autoencoder for Unsupervised Abstractive Sentence Compression"
A modular RL library to fine-tune language models to human preferences
Transformers εΊεΏ«ιε ₯ι¨ζη¨
pytorch implementation of "Get To The Point: Summarization with Pointer-Generator Networks"
Abstractive summarisation using Bert as encoder and Transformer Decoder
simpleT5 is built on top of PyTorch-lightningβ‘οΈ and Transformersπ€ that lets you quickly train your T5 models.
Data from GitHub Β· snapshot Sep 24, 2026