Awesome Natural Language Generation

Website: https://github.com/accelerated-text/awesome-nlg#readme
Category: Themed Directories
Tags: nlp, machine-learning, ai

Overview

Awesome Natural Language Generation is a curated, open directory of resources focused on Natural Language Generation (NLG). It aggregates links to projects, tools, datasets, research papers, and learning materials covering a wide range of NLG applications such as chatbots, story and narrative generation, and data-to-text description.

Features

• Broad NLG Coverage

  • Focus on Natural Language Generation across multiple use cases, including:
    • Conversational agents and dialog systems
    • Story and narrative generation
    • Data-to-text and report generation
  • Emphasis on representing the diversity of NLG applications and techniques.

• Curated Resource Categories (as outlined in the README contents):

  • Datasets – Collections of data useful for training and evaluating NLG systems.
  • Dialog – Tools, frameworks, and resources for dialog and conversational NLG.
  • Evaluation – Methods, metrics, and tools for assessing NLG quality.
  • Grammar – Grammar-based NLG frameworks, formalisms, and tools.
  • Libraries – Software libraries and toolkits that support building NLG systems.
  • Narrative Generation – Systems and resources for generating stories and longer-form narratives.
  • Neural Natural Language Generation – Neural network–based NLG techniques, models, and frameworks.
  • Papers and Articles – Academic papers, surveys, and articles on NLG.
  • Products – Existing NLG-powered products and commercial or ready-to-use systems.
  • Realizers – Surface realization tools and systems that convert abstract representations into text.
  • Templating Languages – Template-based systems and languages used for rule- or template-driven NLG.
  • Videos – Talks, lectures, and video resources about NLG.

• Learning and Research-Oriented

  • Includes links to educational materials, research publications, and tutorials for those studying or working in NLG.

• Community and Governance

  • Code of Conduct: A documented code of conduct governs community interactions in the repository.
  • Contributing Guidelines: Dedicated contributing.md file explaining how to propose new resources or improvements.

• Open License

  • Released under CC0 (Public Domain Dedication).
  • Copyright and related rights have been waived by TokenMill to the extent possible under law, allowing free reuse and modification of the list.

Pricing

• Not a commercial product or service.
• Access to the directory and its contents is free under the CC0 public domain dedication.