RNNLG is an open source benchmark toolkit for Natural Language Generation (NLG) in spoken dialogue system application domains. It is released by Tsung-Hsien (Shawn) Wen from Cambridge Dialogue Systems Group under Apache License 2.0.

A Constrained Text Generation Challenge Towards Generative Commonsense Reasoning

T-Rex : A Large Scale Alignment of Natural Language with Knowledge Base Triples

EMNLP 2019: Generating Personalized Recipes from Historical User Preferences

PyTorch code for ACL 2022 paper: RoMe: A Robust Metric for Evaluating Natural Language Generation https://aclanthology.org/2022.acl-long.387/

The E2E Dataset, packed as a PyTorch DataSet subclass

Content structuring for NLG with discourse dependency trees.