4 HillClimbPOS: After sampling the initial values s, t (0) and y (0) , the hill-climbing algorithm improves the solution via locally greedy changes.
we obtain a 2.1% TedEval gain against the best published results in the 2013 SPMRL shared task (Seddah et al., 2013).