Zulu: an interactive learning competition

  • Authors:
  • David Combe;Colin de la Higuera;Jean-Christophe Janodet

  • Affiliations:
  • Université de Lyon, Saint-Étienne and CNRS UMR, Laboratoire Hubert Curien, Université de Saint-Etienne, Jean Monnet;Université de Nantes, CNRS, LINA, UMR, France;Université de Lyon, Saint-Étienne and CNRS UMR, Laboratoire Hubert Curien, Université de Saint-Etienne, Jean Monnet

  • Venue:
  • FSMNLP'09 Proceedings of the 8th international conference on Finite-state methods and natural language processing
  • Year:
  • 2009

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Abstract

Active language learning is an interesting task for which theoretical results are known and several applications exist. In order to better understand what the better strategies may be, a new competition called Zulu (http://labh-curien.univ-st-etienne.fr/zulu/) is launched: participants are invited to learn deterministic finite automata from membership queries. The goal is to obtain the best classification rate from a fixed number of queries.