CoNLL-2012Sixteenth Conference on Computational Natural Language LearningTopicsCoNLL is an international conference for research on natural languagelearning. We invite submission of papers about natural languagelearning topics, including, but not limited to:* Computational models of human language acquisition* Supervised, unsupervised and semi-supervised machine learningmethods applied to natural language, including speech* Statistical methods (Bayesian learning, graphical models, kernelmethods, statistical models for structured problems)* Symbolic learning methods (rule induction and decision treelearning, lazy learning, inductive logic programming, analyticallearning, transformation-based error-driven learning)* Biologically-inspired methods (Neural Networks, Evolutionary Computing)* Reinforcement learning, active learning* Learning architectures for structural and relational NLP tasks* Computational models of language evolution and historical change* Computational learning theory analysis of language learning* Empirical and theoretical comparisons of language learningmethods, including novel evaluation methods* Models of induction and analogy in linguistics Special Topic of Interest
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