Good software engineering is criticial when building NLG systems, including requirements analysis, design, testing, and support.
If you are writing a scientific paper which presents statistics, please use two-tailed p values unless you **really** know what you are doing.
Some suggestions for people who are new to NLG and want to learn more about it.
I give some high-level advice on handling edge cases in NLG. As with any software system, most of the effort in building NLG systems usually goes into handling edge cases.
I was very sad to hear that the Jewish synagogue in the Scottish town of Dundee is likely to close
There is a lot of hype around deep learning. especially at business-oriented AI events. I suggest some questions to think about for companies who are considering using DL.
Ehud’s guidelines for evaluating AI systems: keep it simple, keep it ethical, be careful, do proper stats, and be skeptical