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CoNLL 2015 : The SIGNLL Conference on Computational Natural Language Learning

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Link: http://www.conll.org/cfp-2015
 
When Jul 30, 2015 - Jul 31, 2015
Where Beijing, China
Submission Deadline May 4, 2015
 

Call For Papers

CoNLL
The SIGNLL Conference on Computational Natural Language Learning
http://www.conll.org/cfp-2015
July 30-31, 2015 in Beijing, China.

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.

Important Dates

Paper submission deadline: May 4, 2015, 23:59 EST (GMT-6)
Notification of acceptance:June 15, 2015
Camera-ready copy deadline: June 21, 2015
Conference: July 30-31 (after ACL 2015)
Submission Details

A paper submitted to CoNLL-2015 must describe original, unpublished work. This year we will accept both long (8 pages of content plus 2 additional pages of references) and short (4 pages of content plus 2 additional pages of references) papers. Long papers will be presented orally, whereas short papers will be both presented as a poster and a five minute oral presentation (poster booster). Both long and short papers will be published in the conference proceedings.

We require the use of the ACL 2015 LaTeX style files or Microsoft Word Style files tailored for this year's conference. Papers must conform to the official ACL 2015 style guidelines. Authors who are unable to use these style files or submit a PDF file electronically should contact the program co-chairs.

Authors may also optionally submit a second document containing supporting information such as proofs or algorithmic details. Reviewers will have access to the supporting information and may refer to it at their discretion. Any information that is critical to understanding the paper should be included within the paper itself.

Since reviewing will be blind, the paper should not include the authors' names and affiliations, and there should be no self-references that reveal the authors' identity. In the submission form, you will be asked for the following information: paper title, authors' names, affiliations and email addresses, corresponding author's email address, a list of keywords, an abstract of no more than 300 words, and information on whether the paper has been or will be simultaneously submitted to other conferences (and if so which conferences). The corresponding authors of accepted papers under multiple submission will need to promptly inform the program co-chairs whether they intend the accepted paper to appear in CoNLL-2015. A paper that is submitted to be included in CoNLL-2015 must be withdrawn from other conferences.

Authors of accepted submissions are to produce a final document to be published in the proceedings of the conference, which will be available at the ACL Anthology website (http://www.aclweb.org/anthology/). At least one author must register for the conference and present the paper. Please do not submit a paper if you do not plan to attend the conference.

As in previous years, CoNLL-2015 will include a shared task, which is organized by a separate committee. Please note the different submission details and deadlines for the shared task.

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.

Related Resources

CoNLL 2020   24th SIGNLL Conference on Computational Natural Language Learning
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ICDM MLCS 2020   IEEE ICDM Workshop on Multilingual Cognitive Services