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• W3093967929 abstract "Finding related cases is an important aspect of the preparation required for any legal case. These documents are often complicated and important characteristics of the case are hidden. This makes it difficult for the lawyers and paralegals to extract the said characteristics. We propose a methodology which is able to recommend similar cases based on content based similarity and the legal citation network. It was observed that the accuracy of the said methodology increases with an increase in the number of recommendations made." @default.
• W3093967929 created "2020-10-29" @default.
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• W3093967929 date "2020-07-01" @default.
• W3093967929 modified "2023-10-16" @default.
• W3093967929 title "Similarity Analysis of Legal Documents using Content and Network Based Approach" @default.
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• W3093967929 doi "https://doi.org/10.1109/icccnt49239.2020.9225586" @default.
• W3093967929 hasPublicationYear "2020" @default.
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