The task of developing a Legal Judgment Prediction System centers around employing machine learning and natural language processing (NLP) techniques to predict the outcomes of legal cases based on the facts presented.
Nov 22, 2023 · Our research aims to enhance early-phase case outcome prediction, offering significant benefits to legal professionals and the general public.
Feb 12, 2024 · Our research aims to enhance early-phase case outcome prediction, offering significant benefits to legal professionals and the general public.
Nov 22, 2023 · To facilitate the task of fact-based judgment prediction, we plan to assemble a comprehensive dataset of openly available Indian legal statutes, ...
Dec 7, 2023 · Our comprehensive sur- vey of over 150 papers reveals a stark reality: only ∼7% of published papers are doing what they set out to do - predict ...
Sep 9, 2024 · Legal judgment prediction implies predicting judgment results based on the case description suitable for judgment predictions in legal terms ...
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Sep 19, 2023 · Legal judgment prediction (LJP) applies Natural Language Processing (NLP) techniques to predict judgment results based on fact descriptions
We propose a colloquial case-based LJP framework called PekoNet, which incorporates Abstractive Text Summarization (ATS) into training for the LJP task.
They use the facts summary as input and predict a binary output: approval or dismissal of the plaintiff's pleas for approx. 85K decisions. Sulea et al. (2017) ...
By simply changing the structure or wording of a prompt, we can adapt the model to perform a wide variety of tasks without the need for retraining [44,45,46 ...