Explainable Legal Case Matching via Graph Optimal Transport

Providing human-understandable explanations for the matching predictions is still challenging for current legal case matching methods. One difficulty is that legal cases are semi-structured text documents with complicated case-case and case-law article correlations. To tackle the issue, we propose a...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	IEEE transactions on knowledge and data engineering 2024-06, Vol.36 (6), p.2461-2475
Hauptverfasser:	Sun, Zhongxiang, Yu, Weijie, Si, Zihua, Xu, Jun, Dong, Zhenhua, Chen, Xu, Xu, Hongteng, Wen, Ji-Rong
Format:	Artikel
Sprache:	eng
Schlagworte:	Correlation explainable matching Graph matching Graphs Law Legal retrieval Legislation Natural languages Predictive models Semantics Speech recognition Sun Task analysis
Online-Zugang:	Volltext bestellen
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!