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diegma avatar

diegma/graph-2-text

0
View on GitHub↗
153 stars·28 forks·Python·MIT·10 views

Graph 2 Text

This is the code used in the paper Deep Graph Convolutional Encoders for Structured Data to Text Generation by Diego Marcheggiani and Laura Perez-Beltrachini.

Features

  • Neural Natural Language Generation - Listed in the “Neural Natural Language Generation” section of the Awesome Nlg awesome list.

Star history

Star history chart for diegma/graph-2-textStar history chart for diegma/graph-2-text

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Frequently asked questions

What does diegma/graph-2-text do?

This is the code used in the paper Deep Graph Convolutional Encoders for Structured Data to Text Generation by Diego Marcheggiani and Laura Perez-Beltrachini.

What are the main features of diegma/graph-2-text?

The main features of diegma/graph-2-text are: Neural Natural Language Generation.

What are some open-source alternatives to diegma/graph-2-text?

Open-source alternatives to diegma/graph-2-text include: akanimax/natural-language-summary-generation-from-structured-data — Implementation (Personal) of the paper titled "Order-Planning Neural Text Generation From Structured Data". The… asyml/texar — Toolkit for Machine Learning, Natural Language Processing, and Text Generation, in TensorFlow. This is part of the… eaglew/paperrobot — PaperRobot: Incremental Draft Generation of Scientific Ideas [[Sample Output]](https://eaglew.github.io/PaperRobot/). huggingface/transformers — Transformers is a comprehensive library for machine learning that provides a unified interface for training,… kasnerz/lightnlg — A minimalistic codebase for finetuning and interacting with natural language generation models from HuggingFace… minimaxir/aitextgen — A robust Python tool for text-based AI training and generation using OpenAI's GPT-2 and EleutherAI's GPT Neo/GPT-3…