论文标题
混合自然语言生成系统整合规则和深度学习算法
A Hybrid Natural Language Generation System Integrating Rules and Deep Learning Algorithms
论文作者
论文摘要
本文提出了一个增强的自然语言生成系统，结合了基于规则的方法和现代深度学习算法的优点，从而在生成的文本内容能够表现出敏捷的人为编写样式以及其内容逻辑的范围内提高了其性能。我们还提出了一种称为HMCU的新颖方法，可以全面，精确地衡量自然语言处理的性能。
This paper proposes an enhanced natural language generation system combining the merits of both rule-based approaches and modern deep learning algorithms, boosting its performance to the extent where the generated textual content is capable of exhibiting agile human-writing styles and the content logic of which is highly controllable. We also come up with a novel approach called HMCU to measure the performance of the natural language processing comprehensively and precisely.
