I believe the idea is to extract wikipedia-like data from first sources. So slang terms like weed won't pass muster on their demo, since nobody publishes papers

I believe the idea is to extract wikipedia-like data from first sources. So slang terms like weed won't pass muster on their demo, since nobody publishes papers on "the effects of weed on the human body" -- they use terms like marijuana, cannabis and THC. Obviously this is a problem for laypeople, but the focus of the research was not on understanding questions, so we shouldn't be too hard on them. It wouldn't be too hard to add an NLP disambiguation to the query engine, but even then we can't expect 100 percent perfection. edit: looks like this is actually ingesting wikipedia too, making it more of an augmentation.