Our work is also related to research on reference resolution in dialogue systems, such as Kennington and Schlangen (2015).
unlike Kennington and Schlangen, who explicitly train an object recognizer associated with each word of interest, with at least 65 labeled positive training examples per word, our model does not have any comparable form of supervision and our data exhibits much lower frequencies of object and word (co-)occurrence.