posted by organizer: smille || 904 views || tracked by 3 users: [display]

NL-Augmenter 2021 : NL-Augmenter (GEM@ACL)

FacebookTwitterLinkedInGoogle

Link: https://github.com/GEM-benchmark/NL-Augmenter
 
When Aug 5, 2021 - Aug 6, 2021
Where GEM@ACL 2021
Abstract Registration Due Aug 5, 2021
Submission Deadline Sep 1, 2021
Notification Due Sep 22, 2021
Categories    natural language processing   test suite   evaluation
 

Call For Papers

The GEM (Generation, Evaluation, Metrics) workshop at ACL, 2021 is inviting transformation submissions to NL-Augmenter 🦎 → 🐍.

The NL-Augmenter is a collaborative effort intended to add transformations of datasets dealing with natural language. Transformations augment text datasets in diverse ways, including: introducing spelling errors, translating to a different language, randomizing names and numbers, paraphrasing, etc. and whatever creative augmentation you contribute to the benchmark. We invite submissions of transformations to this framework by way of GitHub pull request, through September 1, 2021. All submitters of accepted transformations (and filters) will be included as co-authors on a paper announcing this framework by the end of 2021.

Note that the call is related to the GEM workshop at ACL'21, but only a preliminary list of transformations will be presented (by the NL-Augmenter organizers) at the workshop . We encourage submitters to attend the workshop (not mandatory).

Project: https://github.com/GEM-benchmark/NL-Augmenter

We strongly believe that the benefits of open science should reach everyone and hence we are making this effort to reach you. We also encourage you to share this with other researchers in your department who would benefit from this open collaboration. To know more about the framework, check our motivation and review criteria and some of our recent work.

GEM: https://gem-benchmark.com/
Motivation and review criteria: https://github.com/GEM-benchmark/NL-Augmenter/blob/main/docs/doc.md
More information (paper): https://arxiv.org/pdf/2106.09069.pdf


Organizers:
Kaustubh Dhole (Amelia R&D)
Sebastian Gehrmann (Google AI Language)
Varun Gangal (LTI, Carnegie Mellon University)
Jascha Sohl-Dickstein (Google Brain)
Tonghuang Wu (University of Washington)
Simon Mille (Universitat Pompeu Fabra)
Zhenhao Li (Imperial College, London)
Saad Mahmood (Trivago R&D)
Aadesh Gupta (Amelia R&D)
Samson Tan (Salesforce Research)
Jinho Choi (Emory University)

Related Resources

NLBSE 2023   Workshop on NL-based Software Engineering
IEEE Xplore-Ei/Scopus-CSPIT 2023   2023 Asia Conference on Communications, Signal Processing and Information Technology (CSPIT 2023) -EI Compendex
IEEE Xplore-Ei/Scopus-DMCSE 2023   2023 International Conference on Data Mining, Computing and Software Engineering (DMCSE 2023) -EI Compendex
ISEEIE 2024   2024 4th International Symposium on Electrical, Electronics and Information Engineering (ISEEIE 2024)
SDMPR 2023   2023 Asia Conference on Statistics, Data Mining and Pattern Recognition (SDMPR 2023)
SVC 2024   5th International Conference on Signal Processing, VLSI Design & Communication Systems
ACM NLPIR 2023   ACM--2023 7th International Conference on Natural Language Processing and Information Retrieval (NLPIR 2023)
CCCIoT 2024   5th International Conference on Cloud Computing and IoT
AICiViL 2023   International Conference on AI & Civil Engineering
SOFE 2024   10th International Conference on Software Engineering