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akanimax avatar

akanimax/natural-language-summary-generation-from-structured-data

0
View on GitHub↗
186 stars·55 forks·Python·MIT·12 views

Natural Language Summary Generation From Structured Data

Implementation (Personal) of the paper titled "Order-Planning Neural Text Generation From Structured Data". The dataset for this project can be found at -> WikiBio

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 akanimax/natural-language-summary-generation-from-structured-dataStar history chart for akanimax/natural-language-summary-generation-from-structured-data

How this analysis was created: This summary and feature list were written by an AI model that read the project's README and public documentation pages. Each feature links to the documentation it came from; stars, license and language come straight from the GitHub API. The model does not read the source code, and the analysis is refreshed when the project is re-analysed. Learn more on our About page.

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Open-source alternatives to Natural Language Summary Generation From Structured Data

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Frequently asked questions

What does akanimax/natural-language-summary-generation-from-structured-data do?

Implementation (Personal) of the paper titled "Order-Planning Neural Text Generation From Structured Data". The dataset for this project can be found at -> WikiBio

What are the main features of akanimax/natural-language-summary-generation-from-structured-data?

The main features of akanimax/natural-language-summary-generation-from-structured-data are: Neural Natural Language Generation.

What are some open-source alternatives to akanimax/natural-language-summary-generation-from-structured-data?

Open-source alternatives to akanimax/natural-language-summary-generation-from-structured-data include: asyml/texar — Toolkit for Machine Learning, Natural Language Processing, and Text Generation, in TensorFlow. This is part of the… diegma/graph-2-text — This is the code used in the paper Deep Graph Convolutional Encoders for Structured Data to Text Generation by Diego… 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…