This repository is a curated list of resources for Natural Language Generation (NLG), covering applications from chatbots to data descriptions. It serves researchers, developers, and practitioners by providing links to datasets, libraries, tools, papers, and products, aiming to represent the diverse landscape of NLG techniques and applications.

How It Works

The list categorizes NLG resources into distinct areas such as Datasets, Dialog, Evaluation, Grammar, Libraries, Narrative Generation, Neural NLG, Papers, Products, Realizers, and Templating Languages. This structured approach allows users to quickly navigate and find relevant tools, research, and data for specific NLG tasks, from data-to-text generation to complex dialogue systems.

Quick Start & Requirements

This is a curated list, not a software package. No installation or execution is required. Links to external projects are provided for users to explore.

Highlighted Details

• Comprehensive coverage of NLG sub-fields, including neural approaches and evaluation metrics.
• Includes a significant collection of research papers and articles spanning from 2016 to 2022.
• Features a variety of datasets specifically designed for NLG tasks, such as dialogue systems and data-to-text generation.
• Lists multiple libraries and toolkits for both traditional and neural NLG methods.

Maintenance & Community

The list is maintained by accelerated-text. No specific community channels or active development updates are detailed in the README.

Licensing & Compatibility

The content of this list is dedicated to the public domain under CC0 (Creative Commons Zero). Links to external projects retain their original licenses.

Limitations & Caveats

As a curated list, the quality and maintenance of linked projects vary. The README does not provide an assessment of the activity or stability of the linked resources.