A Hybrid Natural Language Generation System Integrating Rules and Deep Learning Algorithms
Computation and Language
2020-06-18 v2 Artificial Intelligence
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.
Cite
@article{arxiv.2006.09213,
title = {A Hybrid Natural Language Generation System Integrating Rules and Deep Learning Algorithms},
author = {Wei Wei and Bei Zhou and Georgios Leontidis},
journal= {arXiv preprint arXiv:2006.09213},
year = {2020}
}
Comments
6 pages