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.
This work was partially supported by the IST Programme of the European Community, under the Pascal 2 Network of Excellence, Ist–2006-216886. The work started while the second author was at Saint-Etienne-University.
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Combe, D., de la Higuera, C., Janodet, JC. (2010). Zulu: An Interactive Learning Competition. In: Yli-Jyrä, A., Kornai, A., Sakarovitch, J., Watson, B. (eds) Finite-State Methods and Natural Language Processing. FSMNLP 2009. Lecture Notes in Computer Science(), vol 6062. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-14684-8_15
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DOI: https://doi.org/10.1007/978-3-642-14684-8_15
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