论文标题
利用类似人类的自然语言的知识和推理：简短的评论
Harnessing Knowledge and Reasoning for Human-Like Natural Language Generation: A Brief Review
论文作者
论文摘要
自然语言生成（NLG）技术的快速发展和应用已彻底改变了自动文本生产领域。但是，这些技术仍然受到产生真正合理且内容丰富的类似人类文本的能力的限制。在本文中，我们探讨了NLG以知识为指导的重要性，以通过语言产生传达类似人类的推理。我们为智能NLG系统提出了十个目标，并简要回顾了知识和推理指导的NLG技术的实现。我们还通过设想未来的方向和挑战来追求这些目标。
The rapid development and application of natural language generation (NLG) techniques has revolutionized the field of automatic text production. However, these techniques are still limited in their ability to produce human-like text that is truly reasonable and informative. In this paper, we explore the importance of NLG being guided by knowledge, in order to convey human-like reasoning through language generation. We propose ten goals for intelligent NLG systems to pursue, and briefly review the achievement of NLG techniques guided by knowledge and reasoning. We also conclude by envisioning future directions and challenges in the pursuit of these goals.
