posted by organizer: sharid_loaiciga || 2508 views || tracked by 5 users: [display]

LSD 2023 : Learning with Small Data -- 3rd CfP -- now also accepting non-archival abstracts

FacebookTwitterLinkedInGoogle

Link: https://sites.google.com/view/learning-with-small-data/home
 
When Sep 11, 2023 - Sep 12, 2023
Where University of Gothenburg
Submission Deadline May 12, 2023
Notification Due Jun 12, 2023
Final Version Due Aug 14, 2023
Categories    NLP   computer science   linguistics   AI
 

Call For Papers

# Learning with Small Data -- 3rd CfP

DEADLINE EXTENSION -- NEW!! also accepting non-archival 2p abstracts

Learning with Small Data
September 11-12, 2023
CLASP, University of Gothenburg

Come visit us in Gothenburg to our annual workshop organized within the CLASP project activities!

Great topic, proceedings published in the ACL anthology, free registration, free food (including gala dinner), amazing keynote speakers:

Aurélie Herbelot -- University of Trento
Tal Linzen -- NYU & Google
Danielle Matthews -- University of Sheffield

https://sites.google.com/view/learning-with-small-data/home

There is now an acute need for intensive research on the possibility of effective learning with small data. Our 2023 conference, LSD, is devoted to work on this problem, with application to computational linguistics.

Learning with Small Data will bring together researchers from various areas to discuss the sustainability of current state of the art methods in computational linguistics which rely on very large models, such as ChatGPT, GPT2-3, BERT, and XLNet. The conference encourages contributions from machine learning, computational linguistics, theoretical linguistics, philosophy, cognitive science, and psycholinguistics, as well as from artificial intelligence ethics and social policy. We hope to see innovative technical proposals, and we will cultivate a wide spectrum of views within a lively dialog on the issues that the conference addresses.

Types of submissions:

Short archival paper (4 pages + references)
Long archival paper (8 pages + references)
Student archival paper (6 pages + references)
New !!! Non-archival abstract (2 pages + references)

Non-archival submissions will be presented as posters. This is a great opportunity to get feedback on new work that is in progress or to present previously published work to a new audience.

To learn more about CLASP, please visit:
https://gu-clasp.github.io/


## Important Dates:

~~Old submission deadline: 2023 May 5, anywhere on Earth~~
New submission deadline: 2023 May 12, anywhere on Earth
Notification of acceptance: 2023 June 12, anywhere on Earth
Camera ready: 2023 August 14, anywhere on Earth
Conference: 2023 September 11-12, not anywhere on Earth, but in Gothenburg

Additional details in our website:

https://sites.google.com/view/learning-with-small-data/home


Related Resources

IEEE-Ei/Scopus-SGGEA 2024   2024 Asia Conference on Smart Grid, Green Energy and Applications (SGGEA 2024) -EI Compendex
Ei/Scopus-AACIP 2024   2024 2nd Asia Conference on Algorithms, Computing and Image Processing (AACIP 2024)-EI Compendex
DSIT 2024   2024 7th International Conference on Data Science and Information Technology (DSIT 2024)
IEEE-Ei/Scopus-ACEPE 2024   2024 IEEE Asia Conference on Advances in Electrical and Power Engineering (ACEPE 2024) -Ei Compendex
AMLDS 2025   2025 International Conference on Advanced Machine Learning and Data Science
GreeNet Symposium - SGNC 2024   15th Symposium on Green Networking and Computing (SGNC 2024)
CCBDIOT 2024   2024 3rd International Conference on Computing, Big Data and Internet of Things (CCBDIOT 2024)
ICONDATA 2024   6th International Conference on Data Science and Applications
AISC 2024   12th International Conference on Artificial Intelligence, Soft Computing
AASDS 2024   Special Issue on Applications and Analysis of Statistics and Data Science