awesome-nlg

Automatically generate multiple natural language descriptions of your data varying in wording and structure.

An open-source library for node.js or client side (browser) execution, based on the Pug template engine, to generate texts in English, French, German and Italian.

An open-source tool for telling interactive, nonlinear stories.

A robust Python tool for text-based AI training and generation using GPT-2.

Graph to sequence implemented in Pytorch combining Graph convolutional networks and opennmt-py.

A Neural Network based generative model for captioning images using Tensorflow.

A minimalistic codebase for finetuning and interacting with NLG models using PyTorch Lightning.

We present a PaperRobot who performs as an automatic research assistant.

Plug and Play Language Model implementation. Allows to steer topic and attributes of GPT-2 models.

A dataset for NLG in dialogue systems in the public transport information domain.

This dataset consists of (human-written) NBA basketball game summaries aligned with their corresponding box- and line-scores.

This shared task focuses on recent end-to-end (E2E), data-driven NLG methods, which jointly learn sentence planning and surface realisation from non-aligned data.

The repository contains the code along with the required corpora that were used in order to build a system that "learns" how to generate English biographies for Semantic Web triples.

The Schema-Guided Dialogue (SGD) dataset consists of over 20k annotated multi-domain, task-oriented conversations between a human and a virtual assistant.

Company descriptions collected from Wikipedia. The dataset contains semantic representations, short, and long descriptions for 51K companies in English.

A tool for holistic analysis of language generations systems.

a benchmark environment for NLG with a focus on its Evaluation, both through human annotations and automated Metrics.

Evaluation code for various unsupervised automated metrics for Natural Language Generation.

A Visual Analysis Toolkit for Text Generation Tasks.

A Ruby library for generating text with recursive template grammars.

Natural language generation language.

Java template engine (with ports for C##, Objective-C, JavaScript, Scala) for generating source code, web pages, emails, or any other formatted text output.

All combinators, common grammar format, parsing to logical form, parameter estimation for probabilistic CCG.

A Web platform for parsing and annotation.

CCG: All combinators, common grammar format, parsing to logical form, parameter estimation for probabilistic CCG.

A programming language for multilingual grammar applications.

OpenCCG library for parsing and realization with CCG.

Generate datasets for AI chatbots, NLP tasks, named entity recognition or text classification models using a simple DSL!

NNDial is an open source toolkit for building end-to-end trainable task-oriented dialogue models.

This is the Plato Research Dialogue System, a flexible platform for developing conversational AI agents.

RNNLG is an open source benchmark toolkit for Natural Language Generation (NLG) in spoken dialogue system application domains.

Statistical NLG for spoken dialogue systems.