AI-Powered Text Generation for Harmonious Human-Machine Interaction: Current State and Future Directions

Understand

In the last two decades, the landscape of text generation has undergone tremendous changes and is being reshaped by the success of deep learning.

• New technologies for text generation ranging from template-based methods to neural network-based methods emerged.
• Meanwhile, the research objectives have also changed from generating smooth and coherent sentences to infusing personalized traits to enrich the diversification of newly generated content.
• With the rapid development of text generation solutions, one comprehensive survey is urgent to summarize the achievements and track the state of the arts.