The rapid advancement in machine learning has led to a surge in automatic data generation, making it increasingly challenging to differentiate between naturally or human-generated data and machine-generated data. Despite these advancements, the generation of creative data remains a challenge. This paper aims to investigate and comprehend the essence of creativity, both in general and within the context of natural language generation. We review various approaches to creative writing devices and tasks, with a specific focus on the generation of poetry. We aim to shed light on the challenges and opportunities in the field of creative data generation.

翻译：机器学习领域的快速进步催生了自动数据生成的激增，使得区分自然/人类生成数据与机器生成数据变得日益困难。尽管取得了这些进展，但创意数据的生成仍是一项挑战。本文旨在探究并理解创造力的一般本质及其在自然语言生成语境中的内涵。我们回顾了创意写作设备与任务的各种方法，特别聚焦于诗歌生成领域。我们力求揭示创意数据生成领域的挑战与机遇。