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

[2er0]

Sorry for cross-posting. Calling all NLP hackers playing around NLP OSS. This is an avenue to consider if you want to share nuggets of OSS knowledge!

CALL FOR PAPERS

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*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