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- W4385572004 abstract "The task of Prior Case Retrieval (PCR) in the legal domain is about automatically citing relevant (based on facts and precedence) prior legal cases in a given query case. To further promote research in PCR, in this paper, we propose a new large benchmark (in English) for the PCR task: IL-PCR (Indian Legal Prior Case Retrieval) corpus. Given the complex nature of case relevance and the long size of legal documents, BM25 remains a strong baseline for ranking the cited prior documents. In this work, we explore the role of events in legal case retrieval and propose an unsupervised retrieval method-based pipeline U-CREAT (Unsupervised Case Retrieval using Events Extraction). We find that the proposed unsupervised retrieval method significantly increases performance compared to BM25 and makes retrieval faster by a considerable margin, making it applicable to real-time case retrieval systems. Our proposed system is generic, we show that it generalizes across two different legal systems (Indian and Canadian), and it shows state-of-the-art performance on the benchmarks for both the legal systems (IL-PCR and COLIEE corpora)." @default.
- W4385572004 created "2023-08-05" @default.
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- W4385572004 date "2023-01-01" @default.
- W4385572004 modified "2023-09-27" @default.
- W4385572004 title "U-CREAT: Unsupervised Case Retrieval using Events extrAcTion" @default.
- W4385572004 doi "https://doi.org/10.18653/v1/2023.acl-long.777" @default.
- W4385572004 hasPublicationYear "2023" @default.
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