As our starting point, we use the "words-asclassifiers" model recently proposed by Kennington and Schlangen (2015).
for uniquely referring expressions ("the red cross"), what is required is to pick the most likely candidate from the distribution: the prediction of an expression such as "the brown shirt guy on right" is computed by first getting the responses of the classifiers corresponding to the words, individually for each object.