Topics
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: April 23, 2017, 23:59 PST
Notification: May 29, 2017
Conference: August 3-4, 2017 (after ACL 2017)
Chairs
Lucia Specia - University of Sheffield, UK
Roger Levy - MIT, USA
Submission Notes
Submissions to CoNLL-2017 must describe original, unpublished work
in 8 pages of content plus maximum 2 additional pages of references.
Final versions will be given one additional page of content (up to 9
pages) so that reviewers' comments can be taken into account. 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. There will be no distinction in the proceedings
between long papers presented orally and as posters. All accepted papers
must be presented at the conference to appear in the proceedings. At
least one author of each accepted paper must register for CoNLL 2017 by
the early registration deadline.
Papers should be submitted using the ACL 2017 styles. 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. Papers that do not conform to these
requirements will be rejected without review. Papers that have been or
will be submitted to other meetings or publications must indicate this
at submission time, and must be withdrawn from the other venues if
accepted by CoNLL 2017. We will not accept for publication or
presentation papers that overlap significantly in content or results
with papers that have been or will be published elsewhere. It is
acceptable to submit work that has been made available as a technical
report (or similar, e.g. in arXiv) without citing it.
Help in Improving Scientific Reviews
A subset of the paper submissions and reviews in CoNLL 2017 will be
included in a dataset of peer reviews for research purposes as part of
the semantic scholar project at AI2. By default, submissions and reviews
will not be included in the dataset, but one can opt-in to include them
via the submission and reviewing forms. The dataset will be released to
the public domain twelve months after the final accept/reject decisions
are made. This is part of a long-term effort to improve the
peer-reviewing process.
Submission Link
https://www.softconf.com/acl2017/conll/
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.
