mlsanityData to 7 Oct 2026

Similar Cases Recommendation using Legal Knowledge Graphs

arXiv 2107.04771 ↗First posted 10 Jul 2021cs.AIcited by 8

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Abstract (arXiv)

A legal knowledge graph constructed from court cases, judgments, laws and other legal documents can enable a number of applications like question answering, document similarity, and search. While the use of knowledge graphs for distant supervision in NLP tasks is well researched, using knowledge graphs for applications like case similarity presents challenges. In this work, we describe our solution for predicting similar cases in Indian court judgements. We present our results and also discuss the impact of large language models on this task.

Key facts. Cited by 8 papers in the map (data through 7 Oct 2026). Builds on 7 of its 25 references that are in the map. First posted on arXiv 10 Jul 2021.

Builds on

7 of 25 references.

References · 7

  1. 2020Stanza: A Python Natural Language Processing Toolkit for Many Human Languagescited by 719
  2. 2020How Does NLP Benefit Legal System: A Summary of Legal Artificial Intelligencecited by 128
  3. 2020Link Prediction using Graph Neural Networks for Master Data Managementcited by 8
  4. 2020Explainable Link Prediction for Privacy-Preserving Contact Tracingcited by 4
  5. 2018Collective Learning From Diverse Datasets for Entity Typing in the Wildcited by 2
  6. 2018Fine Grained Classification of Personal Data Entitiescited by 2
  7. 2021Document Structure aware Relational Graph Convolutional Networks for Ontology Populationcited by 1

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2022: 1; 2023: 2; 2024: 2; 2025: 2; 2026: 1.

8 papers.