In this paper, we release an open-source library, called TextBox, to provide
a unified, modularized, and extensible text generation framework. TextBox aims
to support a broad set of text generation tasks and models. In our library, we
implement 21 text generation models on 9 benchmark datasets, covering the
categories of VAE, GAN, and pretrained language models. Meanwhile, our library
maintains sufficient modularity and extensibility by properly decomposing the
model architecture, inference, and learning process into highly reusable
modules, which allows users to easily incorporate new models into our
framework. The above features make TextBox specially suitable for researchers
and practitioners to quickly reproduce baseline models and develop new models.
TextBox is implemented based on PyTorch, and released under Apache License 2.0
at this https URL

本文介绍了一个名为 TextBox 的开源库，旨在提供一种统一、模块化和可扩展的文本生成框架。该库支持广泛的文本生成任务和模型，并且通过将模型架构、推断和学习过程适当地分解为高度可重用的模块，保持了足够的模块化和可扩展性，使用户可以轻松地将新模型整合到我们的框架中。