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LeDA: A System for Legal Data Annotation
Subinay Adhikary, Dwaipayan Roy, Debasis Ganguly, Shouvik Kumar Guha, Kripabandhu Ghosh
367 - 370
10.3233/FAIA230990
Research Article
Frontiers in Artificial Intelligence and Applications
Volume 379: Legal Knowledge and Information Systems
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.

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