Enhancing Legal Decision Making: WRIT Case Outcome Prediction with LegalBERT Embeddings and AdaBoost Classifier-Reference-Cited by-同舟云学术

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Enhancing Legal Decision Making: WRIT Case Outcome Prediction with LegalBERT Embeddings and AdaBoost Classifier

Published:2024-03-15 Issue: Volume:119 Page:1-6
ISSN:
Container-title:2024 IEEE International Conference on Contemporary Computing and Communications (InC4)
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Author:

George Angelina¹,Jose Alphonsa¹,F Ashik¹,Prabhakar Priyanka¹,Pati Peeta Basa¹,Parida Shantipriya²

Affiliation:

1. Amrita School of Computing,Amrita Vishwa Vidyapeetham, India,Department of Computer Science & Engineering,Bengaluru,India

2. Silo AI,Helsinki,Finland

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10648985/10648990/10649245.pdf?arnumber=10649245

Reference29 articles.

1. Predicting Outcomes of Legal Cases based on Legal Factors using Classifiers

2. Explainable artificial intelligence for assault sentence prediction in New Zealand

3. A general approach for predicting the behavior of the Supreme Court of the United States

4. Automatically classifying case texts and predicting outcomes

5. Legal Document Classification: An Application to Law Area Prediction of Petitions to Public Prosecution Service

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