LeDA: a system for legal data annotation

Adhikary, S., Roy, D., Ganguly, D. , Kumar Guha, S. and Ghosh, K. (2023) LeDA: a system for legal data annotation. In: Sileno, G., Spanakis, J. and van Dijck, G. (eds.) Legal Knowledge and Information Systems. Series: Frontiers in artificial intelligence and applications (379). IOS Press, pp. 370-367. ISBN 9781643684734 (doi: 10.3233/faia230990)

Abstract

This paper presents LeDA, a system for Legal Data Annotation. The system offers the functionality of annotating and categorising text spans representing legal concepts that capture the topic of a document, and also supports a meta-annotator to adjudicate the ground truth created by different annotators. Notably, our system supports a dynamic update of the ontology by enabling the creation of new legal concepts. Currently employed to annotate key legal concepts, LeDA aims to construct concept-based semantic representations for tasks such as similar case retrieval, and judgment prediction.

• Item Type: Book Sections
• Status: Published
• Glasgow Author(s) Enlighten ID: Ganguly, Dr Debasis
• Authors: Adhikary, S., Roy, D., Ganguly, D., Kumar Guha, S., and Ghosh, K.
• College/School: College of Science and Engineering > School of Computing Science
• Journal Name: Frontiers in Artificial Intelligence and Applications
• Publisher: IOS Press
• ISSN: 1879-8314
• ISBN: 9781643684734
• Copyright Holders: Copyright © 2023 The Author(s)
• First Published: First published in Legal Knowledge and Information Systems 2023
• Publisher Policy: Reproduced under a creative commons licence