What are the advantages of semantic natural language generation over typical machine learning natural language generation for a domain specific scenario?
I have read about NaturalOWL where you don't need to do any coding and you can define your ontology to generate content. Any issues which can be addressed from semantic NLG over traditional NLG systems?
Thank You