For each dialogue, we invite at least four different workers to annotate.
after that, we concatenate the embeddings of the starting word (x * start ) and the ending word (x * end ) of each span, as well as its weighted embedding (x i ) and the length feature (φ(i)) to form its final representation e: On top of the extracted mention representation, we then compute the contextual score as follows: where [ ] represents the concatenation, e p and e n are the mention representation of the targeting pronoun and current candidate mention, and ⊙ indicates the element-wise multiplication.