To control response-relatedness with weighted decoding, we use the decoding feature resp rel: where word emb(w) is the GloVe embedding for the word w, sent emb( ) is the sentence embedding for the partner's last utterance (note is part of the context x), and cos sim is the cosine similarity between the two.
the sentence embedding sent emb(s) for an utterance s is a Input: Do you go get coffee often Baseline Response: I do, when I am not playing the piano.