A survey on legal judgment prediction: Datasets, metrics, models and challenges
J Cui, X Shen, S Wen - IEEE Access, 2023 - ieeexplore.ieee.org
Legal judgment prediction (LJP) applies Natural Language Processing (NLP) techniques to
predict judgment results based on fact descriptions automatically. The present work …
predict judgment results based on fact descriptions automatically. The present work …
[PDF][PDF] Legal Judgment Prediction: A Survey of the State of the Art.
Automatic legal judgment prediction (LJP) has recently received increasing attention in the
natural language processing community in part because of its practical values as well as the …
natural language processing community in part because of its practical values as well as the …
Legal judgment prediction via event extraction with constraints
While significant progress has been made on the task of Legal Judgment Prediction (LJP) in
recent years, the incorrect predictions made by SOTA LJP models can be attributed in part to …
recent years, the incorrect predictions made by SOTA LJP models can be attributed in part to …
ML-LJP: multi-law aware legal judgment prediction
Legal judgment prediction (LJP) is a significant task in legal intelligence, which aims to
assist the judges and determine the judgment result based on the case's fact description …
assist the judges and determine the judgment result based on the case's fact description …
Neurjudge: A circumstance-aware neural framework for legal judgment prediction
Legal Judgment Prediction is a fundamental task in legal intelligence of the civil law system,
which aims to automatically predict the judgment results of multiple subtasks, such as …
which aims to automatically predict the judgment results of multiple subtasks, such as …
Identification of rhetorical roles of sentences in indian legal judgments
Automatically understanding the rhetorical roles of sentences in a legal case judgement is
an important problem to solve, since it can help in several downstream tasks like …
an important problem to solve, since it can help in several downstream tasks like …
Fire 2019 aila track: Artificial intelligence for legal assistance
The FIRE 2019 AILA track focused on creating a framework for evaluating different methods
of retrieving relevant prior/precedent cases and statutes given a factual scenario. There …
of retrieving relevant prior/precedent cases and statutes given a factual scenario. There …
Unsupervised law article mining based on deep pre-trained language representation models with application to the Italian civil code
A Tagarelli, A Simeri - Artificial Intelligence and Law, 2022 - Springer
Modeling law search and retrieval as prediction problems has recently emerged as a
predominant approach in law intelligence. Focusing on the law article retrieval task, we …
predominant approach in law intelligence. Focusing on the law article retrieval task, we …
Legal judgment prediction via relational learning
Given a legal case and all law articles, L egal J udgment P rediction (LJP) is to predict the
case's violated articles, charges and term of penalty. Naturally, these labels are entangled …
case's violated articles, charges and term of penalty. Naturally, these labels are entangled …
Lesicin: A heterogeneous graph-based approach for automatic legal statute identification from indian legal documents
Abstract The task of Legal Statute Identification (LSI) aims to identify the legal statutes that
are relevant to a given description of facts or evidence of a legal case. Existing methods only …
are relevant to a given description of facts or evidence of a legal case. Existing methods only …