[microtonal]

and "can you remember factoids from Wikipedia infoboxes",

That's a simplification. E.g. I have trained vectors on Wikipedia dumps without infoboxes, and I queries such as Berlin - Deutschland + Frankreich work fine.

Of course, even the remainder of Wikipedia is nice text in that it will contain sentences such as 'Berlin is the capital of Germany'. So, indeed, it makes doing typical factoid analogies easier.

That said -- I am more interested in the syntactic properties :).

[rspeer]

I didn't mean that you have to learn the data from Wikipedia infoboxes, just that that's a prominent place to find factoids.

It's a data source that you could consult to pass 99% of the "semantic analogy" evaluation with no machine learning at all, which is an indication that a stronger evaluation is needed.