AI enabled legal assistance system: A case study
| Autor: | Y. Sri Lalitha, N. V. Ganapathi Raju, V. Ram Teja, P. Sravani, E. Sridhar Reddy |
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| Rok vydání: | 2022 |
| Předmět: | |
| Zdroj: | International journal of health sciences. :6835-6844 |
| ISSN: | 2550-696X 2550-6978 |
| DOI: | 10.53730/ijhs.v6ns3.7553 |
| Popis: | Given a Case, finding the related prior cases and their judgements is a time consuming job of a Lawyer. The lawyer has to go through huge volumes of law books and prepare his case. An automated tool that retrieves the relevant past cases and their judgments is a very useful application for lawyers. It is a complex task especially in Indian context, the cases and their judgments are un-structured, and there is no standard format of case and judgement presentation. It is understandable for a lawyer but, a most difficult task for a machine. The work here presents a case study to retrieve judgments given in the past for a given factual description. The dataset considered for this work is selected from FIRE-2019, AILA track. The previously developed models showed best average precision of 0.149 using BM25, which itself demonstrates the challenging aspect of the given task. In this work LDA, a probabilistic algorithm for Topic Modelling is explored and studied. The proposed method has shown improved precision. |
| Databáze: | OpenAIRE |
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