[developers] CFP: Workshop for NLP Open Source Software (NLP-OSS)

[liling tan]

Sorry for cross-posting. Hopefully this is an avenue to consider when
DELPH-IN contributors wants to share nuggets of OSS knowledge!


CALL FOR PAPERS
====

--------------------------------------------------------------------------------
*Workshop for NLP Open Source Software (NLP-OSS)*
20 July 2018, Co-located with ACL 2018
https://nlposs.github.io/

Deadline for Long and Short Paper submission: 25th March 2018
(23:59, GMT-11)
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The First Workshop for NLP Open Source Software (NLP-OSS) will be
co-located
with ACL 2018 at Melbourne, Australia on 20 July 2018.

Focusing more on the social and engineering aspect of NLP software
and less on scientific novelty or state-of-art models, the Workshop for
NLP-OSS
is an academic forum to advance open source developments for NLP research,
teaching and application.

NLP-OSS also provides an academic workshop to announce new
software/features,
promote the collaborative culture and best practices that go beyond the
conferences.

We invite full papers (8 pages) or short papers (4 pages) on topics related
to
NLP-OSS broadly categorized into (i) software development, (ii) scientific
contribution and (iii) NLP-OSS case studies.

 - **Software Development**
   - Designing and developing NLP-OSS
   - Licensing issues in NLP-OSS
   - Backwards compatibility and stale code in NLP-OSS
   - Growing an NLP-OSS community
   - Maintaining and motivating an NLP-OSS community
   - Best practices for NLP-OSS documentation and testing
   - Contribution to NLP-OSS without coding
   - Incentivizing OSS contributions in NLP
   - Commercialization and Intellectual Property of NLP-OSS
   - Defining and managing NLP-OSS project scope
   - Issues in API design for NLP
   - NLP-OSS software interoperability
   - Analysis of the NLP-OSS community

 - **Scientific Contribution**
   - Surveying OSS for specific NLP task(s)
   - Demonstration and tutorial of NLP-OSS
   - New NLP-OSS introductions
   - Small but useful NLP-OSS
   - NLP components in ML OSS
   - Citations and references for NLP-OSS
   - OSS vs experiment replicability
   - Gaps between existing NLP-OSS
   - Task-generic vs task-specific software

 - **Case studies**
   - Case studies of how a specific bug is fixed or feature is added
   - Writing wrappers for other NLP-OSS
   - Writing open-source APIs for open data
   - Teaching NLP with OSS
   - NLP-OSS in the industry

Submission should be formatted according to the [ACL2018 templates](
http://acl2018.org/call-for-papers/)
Softconf site: https://www.softconf.com/acl2018/NLPOSS

ORGANIZERS

Lucy Park, NAVER Corp.
Masato Hagiwara, Duolingo Inc.
Dmitrijs Milajevs, NIST and Queen Mary University of London
Liling Tan, Rakuten Institute of Technology
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