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.
The Trento / IITP / Essex Submission to the CONLL Shared Task
Uryupina, Olga;Poesio, Massimo
2011-01-01
Abstract
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.File in questo prodotto:
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