Learn about innovative approaches to legal case retrieval through a 12-minute conference presentation from SIGIR 2024 that explores CaseLink, an inductive graph learning framework. Discover how authors Yanran Tang, Ruihong Qiu, Hongzhi Yin, Xue Li, and Zi Huang leverage graph-based machine learning techniques to enhance the efficiency and accuracy of retrieving relevant legal cases. Examine the implementation of inductive learning methods that enable the system to handle previously unseen cases and understand the practical applications of this technology in legal research and practice.
CaseLink: Inductive Graph Learning for Legal Case Retrieval
Association for Computing Machinery (ACM) via YouTube
Overview
Syllabus
SIGIR 2024 W1.7 [fp] CaseLink: Inductive Graph Learning for Legal Case Retrieval
Taught by
Association for Computing Machinery (ACM)
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