These setups are equivalent to the evaluation in Salakhutdinov and Hinton (2009); Larochelle and Lauly (2012).
the word similarity is calculated as where w is the word embedding normalized to a unit length for w. This paper proposes a novel probabilistic IR method based on hyperspherical QLM that leverages pre-trained word embeddings as random variables for directional probabilistic models.