NLP-OSS 2018 - Workshop for NLP Open Source Software (NLP-OSS)
Topics/Call fo Papers
*Workshop for NLP Open Source Software (NLP-OSS)*
20 July 2018, Co-located with ACL 2018
https://nlposs.github.io/
**Extended** Deadline for Long and Short Paper submission: 8th April 2018
(23:59, GMT-11)
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TL;DR
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You have used NLP open source tools and bore grievances but found the solution after hours of coffee and computer staring. Share that at NLP-OSS and suggest how open source could change for the better (e.g. best practices, documentation, API design etc.)
You've came across an awesome SOTA system on NLP task X that once ruled the F1 score. But now the code is stale and it takes an dinosaur to understand the code. Share your experience at NLP-OSS and propose how to "replicate" these forgotten systems.
You have tried 101 NLP tools and there's none that really do what you want. So you wrote your own shiny new package and made it open source. Tell us why your package better than the existing tools, how did you design the code? Is it going to be a one time thing? Or would you like to see thousands of people using it? How would you grow your users and co-contributors.
At last, you've found the avenue to air these issues in an academic platform at the NLP-OSS workshop!!!
Sharing your experiences, suggestions and analysis from/of NLP-OSS at https://www.softconf.com/acl2018/NLPOSS =)
20 July 2018, Co-located with ACL 2018
https://nlposs.github.io/
**Extended** Deadline for Long and Short Paper submission: 8th April 2018
(23:59, GMT-11)
---
TL;DR
====
You have used NLP open source tools and bore grievances but found the solution after hours of coffee and computer staring. Share that at NLP-OSS and suggest how open source could change for the better (e.g. best practices, documentation, API design etc.)
You've came across an awesome SOTA system on NLP task X that once ruled the F1 score. But now the code is stale and it takes an dinosaur to understand the code. Share your experience at NLP-OSS and propose how to "replicate" these forgotten systems.
You have tried 101 NLP tools and there's none that really do what you want. So you wrote your own shiny new package and made it open source. Tell us why your package better than the existing tools, how did you design the code? Is it going to be a one time thing? Or would you like to see thousands of people using it? How would you grow your users and co-contributors.
At last, you've found the avenue to air these issues in an academic platform at the NLP-OSS workshop!!!
Sharing your experiences, suggestions and analysis from/of NLP-OSS at https://www.softconf.com/acl2018/NLPOSS =)
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Last modified: 2018-03-20 10:28:38