Similar Cases Recommendation using Legal Knowledge Graphs
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arXiv
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| Autores principales: | , , , , |
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| Formato: | Preprint |
| Publicado: |
2021
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| Materias: | |
| Acceso en línea: | |
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| _version_ | 1866913250850897920 |
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| author | Dhani, Jaspreet Singh Bhatt, Ruchika Ganesan, Balaji Sirohi, Parikshet Bhatnagar, Vasudha |
| author_facet | Dhani, Jaspreet Singh Bhatt, Ruchika Ganesan, Balaji Sirohi, Parikshet Bhatnagar, Vasudha |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2107_04771 |
| institution | arXiv |
| publishDate | 2021 |
| record_format | arxiv |
| spellingShingle | Similar Cases Recommendation using Legal Knowledge Graphs Dhani, Jaspreet Singh Bhatt, Ruchika Ganesan, Balaji Sirohi, Parikshet Bhatnagar, Vasudha Artificial Intelligence 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. |
| title | Similar Cases Recommendation using Legal Knowledge Graphs |
| topic | Artificial Intelligence |
| url | https://arxiv.org/abs/2107.04771 |