Natural Language Generation for Advertising: A Survey

Abstract

Natural language generation for advertising emerges as an effective tool that helps the advertisers to strive for an increasing number of online ads. In this survey paper, we overview the research trends in the past decade including template-based methods and neural generation models. We also discuss the key challenges and directions for future work such as faithful generation, utilization of multimodal information, and development of benchmark datasets.