We build the Boolean Distributional Semantic Model (BDSM) by mapping real-valued vectors from a distributional semantic model into Booleanvalued vectors, so that feature inclusion in Boolean space corresponds to entailment between words (or sentences).
we optimize the mapping function so that, if two words (or sentences) entail each other, then the more specific one will get a Boolean vector included in the Boolean vector of the more general one.