PReLCaP : Precedence Retrieval from Legal Documents Using Catch Phrases

Author:

Sampath KayalvizhiORCID,Durairaj Thenmozhi

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Computer Networks and Communications,General Neuroscience,Software

Reference43 articles.

1. Akkalyoncu Yilmaz Z, Wang S, Yang W, Zhang H, Lin J (2019) “Applying BERT to Document Retrieval with Birc”. In: Proceedings of the 2019 conference on empirical methods in natural language processing and the 9th international joint conference on natural language processing (EMNLP-IJCNLP): system demonstrations, association for computational linguistics, Hong Kong, China, pp 19–24., https://doi.org/10.18653/v1/D19-3004

2. Allard T, Béziaud L, Gambs S (2020) “Online publication of court records: circumventing the privacy-transparency trade-off. eprint2007.01688

3. Almuslim I, Inkpen D (2020) Document level embeddings for identifying similar legal cases and laws (aila 2020 shared task). Proceedings of FIRE pp 42–48

4. Aroraa J, Patankara T, Shaha A, Joshia S (2020) Artificial intelligence as legal research assistant. FIRE (Working Notes) pp 60–65

5. Balaji NNA, Bharathi B, Bhuvana J (2020) Legal information retrieval and rhetorical role labelling for legal judgements. In: FIRE (Working Notes), pp 26–30

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1. AI-Driven Model for Contract Law Cases;International Journal of Latest Technology in Engineering Management & Applied Science;2024-08-20

2. Analysing the Resourcefulness of the Paragraph for Precedence Retrieval;Proceedings of the Nineteenth International Conference on Artificial Intelligence and Law;2023-06-19

3. Semantic matching based legal information retrieval system for COVID-19 pandemic;Artificial Intelligence and Law;2023-03-14

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