Sorry for cross-posting. Hopefully this is an avenue to consider when MT developers and OSS 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) --------------------------------------------------------------------------------- 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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