论文标题

探索可控制的文本生成技术

Exploring Controllable Text Generation Techniques

论文作者

Prabhumoye, Shrimai, Black, Alan W, Salakhutdinov, Ruslan

论文摘要

神经控制文本生成是由于其大量应用而引起关注的重要领域。尽管可控制的文本生成中有大量的先前工作,但没有统一的主题。在这项工作中,我们通过将其分类为五个模块来提供生成过程管道的新架构。生成过程中属性的控制需要修改这些模块。我们介绍了用于执行这些模块调制的不同技术的概述。我们还提供了这些技术的优势和缺点的分析。我们进一步铺平了基于本文所述模块的组合开发新体系结构的方法。

Neural controllable text generation is an important area gaining attention due to its plethora of applications. Although there is a large body of prior work in controllable text generation, there is no unifying theme. In this work, we provide a new schema of the pipeline of the generation process by classifying it into five modules. The control of attributes in the generation process requires modification of these modules. We present an overview of different techniques used to perform the modulation of these modules. We also provide an analysis on the advantages and disadvantages of these techniques. We further pave ways to develop new architectures based on the combination of the modules described in this paper.

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