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Joint Workshop on Legal and Ethical Issues in Human Language Technologies and Computational Approaches to Language Data Pseudonymization, Anonymization, De-identification, and Data Privacy @ LREC 2026 — accepted papers

Joint Workshop on Legal and Ethical Issues in Human Language Technologies and Computational Approaches to Language Data Pseudonymization, Anonymization, De-identification, and Data Privacy @ LREC 2026 is the 2026 edition of the Joint Workshop on Legal and Ethical Issues in Human Language Technologies and Computational Approaches to Language Data Pseudonymization, Anonymization, De-identification, and Data Privacy @ LREC, held in Palma, Mallorca (Spain), May 2026 (publisher: ELRA). The ACL Anthology lists 12 papers of it; our library holds 6 with our summaries. Below: the most cited papers, every accepted paper, and ours with their topics, authors and institutions.

📍 Palma, Mallorca (Spain) · 🗓 May 2026

All accepted papers (12)

The most cited first; 6 with our summary link to their page here, the others to the original.

  1. Balancing FAIR and GDPR: A Governance Framework for Oral ArchivesElvira Mercatanti, Monica Monachini, Giovanni Abete et al.our summary
  2. LDS Contractual Framework: Principles, Status and Implementation ↗Penny Labropoulou, Kossay Talmoudi, Dimitrios Gkoumas et al.
  3. Towards Robust Evaluation for Privacy QA Systems ↗Anna Leschanowsky, Zahra Kolagar, Erion Çano et al.

 Papers with our summary in our library (6)

The most cited first (OpenAlex citations plus our library's).

 Top topics

Topics of its works in our library, with the number of works on each.

Legal AI (2)Evaluation & benchmarks (1)

 Fields

Computer Science (6)Arts and Humanities (3)Social Sciences (3)Medicine (1)Psychology (1)

 Top authors

Authors with a page who published here most often: their works here, and the citations of those works.

 Top institutions

Institutions on the bylines of its works here, by the number of works.

Place and dates from the event's site or the ACL Anthology; works and citations from OpenAlex and our library.

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