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Finding the Goldilocks Zone: Retrieving Citation Context

Year: 2025

Type: conference-paper

Abstract: We report on a first set of results from experiments undertaken to tackle the novel task of determining the optimal context window for extracting and contextualising citation instances within case law. The wider task of outcome prediction using AI tools cannot be undertaken without considering the role that citations play when new cases are being decided. This short paper aims to shine a light on the importance of this task and provide the foundation for developing AI tools to capture citations’ context by examining a corpus of legal cases taken from the European Court of Human Rights. Our results show that there is an identifiable “Goldilocks Zone” of scoped paragraph-level context windows that attention can be focused on for extracting citation instances.

Source: International Conference on Artificial Intelligence and Law

DOI: 10.1145/3769126.3769261

Authors: Jack Mumford, David Bareham, Katie Atkinson, Jeremy Marshall

Institution: University of Liverpool

Language: English

Topic: Artificial Intelligence in Law

Subfield: Law

Field: Social Sciences

Domain: Social Sciences

Open Access status: hybrid

OpenAlex ID: W7123668657

FWCI:

Cites: 13

Cited by:

Related to: 10