Texar NLG Toolkit

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A Texar NLG Toolkit is an NLG toolkit (to create NLG systems).



References

2018a

  • https://github.com/asyml/texar/
    • QUOTE: Texar is an open-source toolkit based on Tensorflow, aiming to support a broad set of machine learning especially text generation tasks, such as machine translation, dialog, summarization, content manipulation, language modeling, and so on. Texar is designed for both researchers and practitioners for fast prototyping and experimentation.

      With the design goals of modularity, versatility, and extensibility in mind, Texar extracts the common patterns underlying the diverse tasks and methodologies, creates a library of highly reusable modules and functionalities, and facilitates arbitrary model architectures and algorithmic paradigms, e.g.,

      • encoder(s) to decoder(s), sequential- and self-attentions, memory, hierarchical models, classifiers...
      • maximum likelihood learning, reinforcement learning, adversarial learning, probabilistic modeling, ...
    • With Texar, cutting-edge complex models can be easily constructed, freely enriched with best modeling/training practices, readily fitted into standard training/evaluation pipelines, and fastly experimented and evolved by, e.g., plugging-in and swapping-out different modules.

2018b

2018c