Because there is no generally accepted metric for measuring the performance of anaphora resolution systems, a combination of metrics was proposed to evaluate submissions to the 2011 CONLL Shared Task (Pradhan et al., 2011). We investigate therefore Multi-objective function Optimization (moo) techniques based on Genetic Algorithms to optimize models according to multiple metrics simultaneously.
['Olga Uryupina', 'Sriparna Saha', 'Asif Ekbal', 'Massimo Poesio']
Multi-metric optimization for coreference: The UniTN / IITP / Essex submission to the 2011 CONLL Shared Task