CALD 2024 : CALD-pseudo workshop on Computational Approaches to Language Data Pseudonymization @ EACL 2024
Call For Papers
First Call for papers: CALD-pseudo workshop on Computational Approaches to Language Data Pseudonymization @ EACL 2024, March 21 or 22, 2024
Submission website: https://softconf.com/eacl2024/CALD-pseudo-2024/
Submission Deadline: Monday, 18 December 2023
We invite submissions to the first edition of the CALD-pseudo workshop on Computational Approaches to Language Data Pseudonymization, to be held at EACL 2024 on March 21 or 22, 2024.
December 18, 2023: paper submission deadline
January 17, 2024: resubmission of already pre-reviewed ARR papers
January 20, 2024: notification of acceptance
January, 30 2024: camera-ready papers due
March 21 or 22, 2024: workshop date (the date to be confirmed by the EACL)
Accessibility of research data is critical for advances in many research fields, but textual data often cannot be shared due to the personal and sensitive information which it contains, e.g names, political opinions, sensitive personal information and medical data. General Data Protection Regulation, GDPR (EU Commission, 2016), suggests pseudonymization as a solution to secure open access to research data but we need to learn more about pseudonymization as an approach before adopting it for manipulation of research data (Volodina et al., 2023). The main challenge is how to effectively pseudonymize data so that individuals cannot be identified, while at the same time keeping the data usable for research in, among others, computational linguistics, linguistics and natural language processing, for which it was collected.
[Topics of Interest]
CALD-pseudo workshop invites a broad community of researchers in all concerned cross-disciplinary fields to jointly discuss challenges within pseudonymization, such as
automatic approaches to detection and labelling of personal information in unstructured language data, including events and other context-dependent cues revealing a person;
developing context-sensitive algorithms for replacement of personal information in unstructured data;
studies into the effects of pseudonymization on unstructured data, e.g. applicability of pseudonymised data for the intended research questions, readability of pseudonymised data or addition of unwelcome biases through pseudonymization;
effectiveness of pseudonymization as a way of protecting writer identity;
reidentification studies; e.g. adversarial learning techniques that attempt to breach the privacy protections of pseudonymized data;
constructing datasets for automatic pseudonymization, including methodological and ethical aspects of those;
approaches to the evaluation of automatic pseudonymization both in concealing the private information and preserving the semantics of the non-personal data;
pseudonymization tools and software: evaluating the available tools and software for pseudonymization in different languages, and their ease of use, scalability, and performance;
and numerous other open questions.
Authors are invited to submit by December 18, 2023 original and unpublished research papers in the following categories:
Full papers (up to 8 pages) for substantial contributions
Short papers (up to 4 pages) for ongoing or preliminary work
All submissions must be in PDF format must follow the EACL 2024 guidelines described in the ARR CfP (https://aclrollingreview.org/cfp), be in pdf, and use the official ACL style templates available here: https://github.com/acl-org/acl-style-files
Direct submission deadline: December 18, 2023 at https://softconf.com/eacl2024/CALD-pseudo-2024/
Deadline for registration of ARR reviewed papers: January 17, 2023. (Further instructions will follow.)
We also invite authors of papers on the topics of the workshop accepted to Findings to reach out to the organizing committee of CALD-pseudo to present them at the workshop.
We are happy to announce that the workshop will host two invited speakers:
Anders Søgaard, University of Copenhagen, Denmark
Ildikó Pilán, the Norwegian Computing Center, Norway
Elena Volodina, University of Gothenburg, Sweden
Therese Lindström Tiedemann, University of Helsinki, Finland
Simon Dobnik, University of Gothenburg, Sweden
Xuan-Son Vu, Umeå university, Sweden
A list of program committee members is available on the workshop website.
For inquiries, please contact email@example.com
ACL link to the call: https://www.aclweb.org/portal/content/computational-approaches-language-data-pseudonymization