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

Wei, Wei, Zhou, Bei, Leontidis, Georgios

arXiv.org Artificial Intelligence 

This section presents the HMCU analysis model that is adopted to compare and evaluate the performance of various Nowadays, mainstream natural language generation NLG model, along with the brief introduction of the essential (NLG) techniques fall into two categories, i.e. conventional concepts regarding rule-based as well as deep learningbased rule-based approaches and deep learning algorithm-based NLG techniques that are conducive to understand our approaches, each of which carries exclusive pros and cons.

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