Second Call for ACL 2017 System Demonstrations (and new Best Demo Paper Award)
Mohit Bansal
mbansal at cs.unc.edu
Tue Feb 14 02:50:19 UTC 2017
*Second Call for ACL 2017 System Demonstrations (and new Best Demo Paper
Award) *
*Important Deadlines: *
Submission deadline: March 1, 2017 (11:59pm PST)
Notification of acceptance: April 5, 2016
Submission of camera ready copies: April 22, 2017
ACL 2017: July 30-August 4, 2017
*Invitation for Submission: *
The ACL 2017 System Demonstration Program Committee invites proposals for
the Demonstrations Program. Submissions may range from early research
prototypes to mature production-ready systems. Of particular interest are
publicly available open-source or open-access systems. We would like to
strongly encourage demonstrations of industrial systems as long as they
prove technologically innovative given the current state of the art of
theory and applied research in computational linguistics. PLEASE NOTE:
Commercial sales and marketing activities are not appropriate in the
Demonstrations Program and should be arranged as part of the Exhibit
Program.
Areas of interest include all topics related to theoretical and applied
computational linguistics, such as (but not limited to) the topics listed
on the main conference website: http://acl2017.org
Accepted submissions will be published in a companion volume of the ACL
2017 conference proceedings, and will be presented during two demo sessions
with an accompanying poster.
**Note: This year we will also select the *Best Demo Paper Award*! This
will encourage researchers to make their code available and runnable as a
system.
The systems may be of the following kinds:
Natural Language Processing systems or system components
Application systems using language technology components
Software tools for computational linguistics research
Software for demonstration or evaluation
Software supporting learning or education
Tools for data visualization and annotation
Development tools
Developers should outline the design of their system and provide sufficient
details to allow the evaluation of its validity, quality, and relevance to
computational linguistics. Pointers to web sites running a demo preview
will also be helpful. For non web-based demos, it is possible to submit a
short (~2 minute) screencast video demonstrating the system. This
screencast will be used to evaluate the paper, but won't be published
unless requested. We encourage the authors to include visual aids (e.g.,
screenshots, snapshots, or diagrams) in the paper. However, there will be
place on the START website to upload additional material, if needed. If you
choose to submit a screencast, please upload the video to some hosting site
(YouTube, Vimeo, etc.) and include the link in your submission.
Demo submissions should also clearly indicate if any computer equipment is
expected to be provided by the local organizer. If so, please specify
desired hardware platform, hard disk and memory capacity, operating system
and other software needed in order to run the demo.
Submission Information
Submissions may consist of 6 pages (including references. Papers must
conform to the official ACL guidelines which are contained in the style
files.
http://acl2017.org/files/acl2017.zip
Submission will be electronic in PDF format through the START conference
management system at:
*https://www.softconf.com/acl2017/demos/
<https://www.softconf.com/acl2017/demos/>*
Reviewing Policy:
Reviewing will be ***single-blind***, so authors do not need to conceal
their identity. The paper should include the authors' names and
affiliations. Self-references are also allowed.
ACLWeb Portal link:
https://www.aclweb.org/portal/content/call-acl-2017-system-demonstrations-and-new-best-demo-paper-award
---
ACL 2017 System Demonstration Co-chairs:
Mohit Bansal, University of North Carolina Chapel Hill, USA (
mbansal at cs.unc.edu)
Heng Ji, Rensselaer Polytechnic Institute, USA (jih at rpi.edu)
Email id for any inquiries: *acl2017-demochairs at googlegroups.com
<acl2017-demochairs at googlegroups.com>*
--
Mohit Bansal
Assistant Professor
Computer Science, UNC Chapel Hill
www.cs.unc.edu/~mbansal/
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