Similar models have also been applied for pragmatic inference in instruction-following agents for modeling the likelihood of causing the speaker to produce the utterance given an inferred action (Fried et al., 2018), while we use p(z →x) as one qualitymeasuring feature in our reranker.
we implement p(z → x) using an attentional sequence-to-sequence network (Luong et al., 2015), which takes as input a tokenized MR z.