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arXiv · 2006.09213

A Hybrid Natural Language Generation System Integrating Rules and Deep Learning Algorithms

Wei Wei·Bei Zhou·Georgios Leontidis
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Abstract

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.

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Wei Wei, Bei Zhou, Georgios Leontidis. 2020-06-15. A Hybrid Natural Language Generation System Integrating Rules and Deep Learning Algorithms. https://arxiv.org/abs/2006.09213

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