Above, u and v are the parameters of the model, and h a and h p are learned feature embeddings of the local mention context and the pairwise affinity between a mention and an antecedent, respectively.
yet, state-of-the-art performance can be achieved with systems treating each mention prediction independently, which we attribute to the inherent difficulty of crafting informative clusterlevel features.