CoNLL 2012 - CoNLL-2012 16th Conference on Computational Natural Language Learning

CoNLL-2012
Sixteenth Conference on Computational Natural Language Learning

Topics

CoNLL is an international conference for research on natural language
learning. We invite submission of papers about natural language
learning topics, including, but not limited to:

* Computational models of human language acquisition

* Supervised, unsupervised and semi-supervised machine learning

methods applied to natural language, including speech

* Statistical methods (Bayesian learning, graphical models, kernel

methods, statistical models for structured problems)

* Symbolic learning methods (rule induction and decision tree

learning, lazy learning, inductive logic programming, analytical

learning, 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 learning

methods, including novel evaluation methods

* Models of induction and analogy in linguistics

Special Topic of Interest