Challenging NLG datasets and tasks
I would like neural NLG researchers to focus on more challenging datasets, and make some suggestions.
I would like neural NLG researchers to focus on more challenging datasets, and make some suggestions.
The BBC used Arria NLG to generate stories about the recent UK election. In this application, texts communicated a meaning, there was no corpus, accuracy was paramount, and domain experts wanted to control the system. Most applied NLG systems I have worked on have had similar constraints.