Text Summarization
clovaai/FocusSeq2Seq
[EMNLP 2019] Mixture Content Selection for Diverse Sequence Generation (Question Generation / Abstractive Summarization)
π§ Natural Language Processing
PythonMITupdated Apr 15, 2021
[NeurIPS'22 Spotlight] Data and code for our paper CoNT: Contrastive Neural Text Generation
$ git clone https://github.com/Shark-NLP/CoNT.git[EMNLP 2019] Mixture Content Selection for Diverse Sequence Generation (Question Generation / Abstractive Summarization)
A modular RL library to fine-tune language models to human preferences
Library of state-of-the-art models (PyTorch) for NLP tasks
Transformers εΊεΏ«ιε ₯ι¨ζη¨
Automatically generate headlines to short articles
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