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

Dataset associated with "BOLD: Dataset and Metrics for Measuring Biases in Open-Ended Language Generation" paper

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

EMNLP 2019: Generating Personalized Recipes from Historical User Preferences

EMNLP 2018. Learning to Describe Differences Between Pairs of Similar Images. Harsh Jhamtani, Taylor Berg-Kirkpatrick.

Harsh Jhamtani*, Varun Gangal*, Eduard Hovy, Graham Neubig, Taylor Berg-Kirkpatrick. Learning to Generate Move-by-Move Commentary for Chess Games from Large-Scale Social Forum Data. ACL 2018

The French summarization dataset introduced in "BARThez: a Skilled Pretrained French Sequence-to-Sequence Model".

datasets with text data for use in NLP, Text analysis, information extraction, ML research.

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

Collection of text transcript of speeches delivered by the PM of India Mr. Narendra Modi.

Repository for the LREC-COLING 2024 Paper: Persona-Based Corpus in the Diabetes Mellitus Domain – Applying a Human-Centered Approach to a Low-Resource Context

Content structuring for NLG with discourse dependency trees.

A repository for ConceptFR project files.