Categorizing legal features in a metadata-oriented task: defining the conditions of use

Mickaël Rigault, Victoria Arranz, Valérie Mapelli, Penny Labropoulou, Stelios Piperidis

Abstract
In recent times, more attention has been brought by the Human Language Technology (HLT) community to the legal framework for making available and reusing Language Resources (LR) and tools. Licensing is now an issue that is foreseen in most research projects and that is essential to provide legal certainty for repositories when distributing resources. Some repositories such as Zenodo or Quantum Stat do not offer the possibility to search for resources by licenses which can turn the searching for relevant resources a very complex task. Other repositories such as Hugging Face propose a search feature by license which may make it difficult to figure out what use can be made of such resources. During the European Language Grid (ELG) project, we moved a step forward to link metadata with the terms and conditions of use. In this paper, we document the process we undertook to categorize legal features of licenses listed in the SPDX license list and widely used in the HLT community as well as those licenses used within the ELG platform
Anthology ID:
2022.legal-1.5
Volume:
Proceedings of the Workshop on Ethical and Legal Issues in Human Language Technologies and Multilingual De-Identification of Sensitive Data In Language Resources within the 13th Language Resources and Evaluation Conference
Month:
June
Year:
2022
Address:
Marseille, France
Venue:
LEGAL
SIG:
Publisher:
European Language Resources Association
Note:
Pages:
22–26
Language:
URL:
https://aclanthology.org/2022.legal-1.5
DOI:
Bibkey:
Cite (ACL):
Mickaël Rigault, Victoria Arranz, Valérie Mapelli, Penny Labropoulou, and Stelios Piperidis. 2022. Categorizing legal features in a metadata-oriented task: defining the conditions of use. In Proceedings of the Workshop on Ethical and Legal Issues in Human Language Technologies and Multilingual De-Identification of Sensitive Data In Language Resources within the 13th Language Resources and Evaluation Conference, pages 22–26, Marseille, France. European Language Resources Association.
Cite (Informal):
Categorizing legal features in a metadata-oriented task: defining the conditions of use (Rigault et al., LEGAL 2022)
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