We hypothesize that using biased potential functions, maximizing the likelihood for training can correlate better with F1-score or MUCscore than the pairwise accuracy.
pairwise MUC e % R % P % F % R % P % F % BASE  we hypothesize that biasing on every coreferent pair will correlate more with F1-score, and biasing on close coreferent pairs will correlate more with MUC-score.