A dataset of contractual events in court decisions
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Published version
Author(s)
Paulino Passos, G
Satoh, K
Toni, F
Type
Conference Paper
Abstract
The promise of automation of legal reasoning is developing technology that reduces human time required for legal tasks or that improves human performance on such tasks. In order to do so, different methods and systems based on logic programming were developed. However, in order to apply such methods on legal data, it is necessary to provide an interface between human users and the legal reasoning system, and the most natural interface in the legal domain is natural language, in particular, written text. In order to perform reasoning in written text using logic programming methods, it is then necessary to map expressions in text to atoms and predicates in the formal language, a task referred generally as information extraction. In this work, we propose a new dataset for the task of information extraction, in particular event extraction, in court decisions, focusing on contracts. Our dataset captures contractual relations and events that affect them in some way, such as negotiations preceding a (possible) contract, the execution of a contract, or its termination. We conducted text annotation with law students and graduates, resulting in a dataset with 207 documents, 3934 sentences, 4627 entities, and 1825 events. We describe here this resource, the annotation process, its evaluation with inter-annotator agreement metrics, and discuss challenges during the development of this resource and for the future.
Date Issued
2023-07-09
Online Publication Date
2024-10-01T13:25:46Z
Date Acceptance
2023-06-14
ISSN
1613-0073
Publisher
CEUR Workshop Proceedings
Journal / Book Title
CEUR Workshop Proceedings
Volume
3437
Copyright Statement
© 2023 Copyright for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0).
License URI
Source
Logic Programming and Legal Reasoning Workshop @ ICLP 2023
Publication Status
Published
Start Date
2023-07-09
Finish Date
2023-07-10
Country
London, United Kingdom