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

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    Website acl2012.org | Want to Edit it Edit Freely

    Category CONLL 2012

    Deadline: February 20, 2012 | Date: July 12, 2012-July 14, 2012

    Venue/Country: Jeju, South Korea

    Updated: 2011-10-28 23:35:00 (GMT+9)

    Call For Papers - CFP

    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


    Keywords: Accepted papers list. Acceptance Rate. EI Compendex. Engineering Index. ISTP index. ISI index. Impact Factor.
    Disclaimer: ourGlocal is an open academical resource system, which anyone can edit or update. Usually, journal information updated by us, journal managers or others. So the information is old or wrong now. Specially, impact factor is changing every year. Even it was correct when updated, it may have been changed now. So please go to Thomson Reuters to confirm latest value about Journal impact factor.