These methods are based on the Categorial framework, as is the Frobenius algebra baseline; however, the methods described here are all implemented with Skip-Gram vectors, and matrices and tensors learned by linear regression.
it seems unlikely that vector addition can achieve a MAP much higher than its current one of around 0.5.