Conference Information
CoNLL 2016 : The SIGNLL Conference on Computational Natural Language Learning
Submission Date:
Notification Date:
Conference Date:
Berlin, Germany
CCF: c   CORE: a   QUALIS: b1   Viewed: 4973   Tracked: 8   Attend: 2

Conference Location
Call For Papers

We invite the submission of papers on all aspects of computational approaches to natural language learning, including, but not limited to:

    Development and empirical evaluation of machine learning methods applied to any natural language or speech processing task in supervised, semi-supervised or unsupervised settings (e.g. structured prediction, graphical models, deep learning, relational learning, reinforcement learning, etc.).
    Theoretical analyses of learning-based approaches to natural language processing.
    Computational models of human language acquisition and processing, models of language evolution and change, and simulation and analysis of psycholinguistic findings.

Special Topic

With the recent growing interest in statistical approaches to natural language learning that go beyond linear models and convex optimization, e.g., latent variable models or deep learning approaches, including recurrent and recursive networks, we are especially interested in papers dealing with theoretical or empirical analyses and of such models and their learning algorithms. This includes analysis of non-convex learning in the context of language processing, as well as theoretical or empirical results on phenomena that can and cannot be learned well with a given approach.


Submissions to CoNLL-2016 must describe original, unpublished work in 8 pages of content plus 2 additional pages of references. Papers will be presented orally, or as posters with a five minute oral presentation (poster booster). All papers will be published in the conference proceedings. Submission details will be provided online at in time.

Best Paper Award

As in recent CoNLL conferences, a Best Paper Award will be given to the authors of the highest quality paper. The most important aspects in judging the quality of a paper will be: originality, innovativeness, relevance, and impact of the presented research.

Shared Task

The 2016 CoNLL Shared Task will be a follow-on to the 2015 Shared Task on Shallow Discourse Parsing (SDP). This 2nd edition will be multilingual. In addition to English, which will be a repeat of the 2015 Shared Task, it will also include Chinese. Registration will start in mid-January, 2016, when the training data and scorer will also be available.  The evaluation window will be in late April. Shared task results will be presented at the CoNLL conference in Berlin.

For more information and important dates of the shared task competition see
Last updated by Dou Sun in 2016-01-05
Related Conferences
CCFCOREQUALISShortFull NameSubmissionNotificationConference
caa2ICDARInternational Conference on Document Analysis and Recognition2017-03-152017-07-012017-11-10
cbb1ILPInternational Conference on Inductive Logic Programming2017-04-282017-06-092017-09-04
3DTV3DTV Conference2015-04-102015-05-152015-07-08
baa1COLINGInternational Conference on Computational Linguistics2012-08-312012-10-152012-12-08
cCIACInternational Conference on Algorithms and Complexity2012-11-092012-12-202013-05-22
ICIEAInternational Conference on Industrial Electronics and Applications2016-10-302017-02-152017-06-18
ESMEInternational Academic Conference on Economic Science and Management Engineering2016-10-29 2016-11-04
ab3VLSI-SoCInternational Conference on VLSI and System-on-Chip2015-04-252015-06-252015-10-05
ACALCIAustralasian Conference on Artificial Life and Computational Intelligence2014-09-202014-10-272015-02-05
Related Journals
CCFFull NameImpact FactorPublisherISSN
cIEEE Computational Intelligence Magazine2.905IEEE1556-603X
bComputational Linguistics0.721MIT Press0891-2017
Journal of Computational Electronics1.013Springer1569-8025
bComputational Intelligence0.971John Wiley & Sons, Ltd.1467-8640
Computational Geosciences0.769Springer1420-0597
cACM Transactions on Computational Logic ACM1529-3785
Journal of Computational Analysis and Applications Springer1521-1398
bPLoS Computational Biology Public Library of Science1553-734X
cIEEE Transactions on Computational Intelligence and AI in Games1IEEE1943-068X
bComputer Vision and Image Understanding2.134ELSEVIER1077-3142