Multi-metric optimization for coreference: The UniTN / IITP / Essex submission to the 2011 CONLL Shared Task

نویسندگان

  • Olga Uryupina
  • Sriparna Saha
  • Asif Ekbal
  • Massimo Poesio
چکیده

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 Multiobjective function Optimization (MOO) techniques based on Genetic Algorithms to optimize models according to multiple metrics simultaneously.

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تاریخ انتشار 2011