[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 …
Bringing order into the realm of Transformer-based language models for artificial intelligence and law
CM Greco, A Tagarelli - Artificial Intelligence and Law, 2023 - Springer
Transformer-based language models (TLMs) have widely been recognized to be a cutting-
edge technology for the successful development of deep-learning-based solutions to …
edge technology for the successful development of deep-learning-based solutions to …
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 …
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 …
[PDF][PDF] Learning Where and When to Reason in Neuro-Symbolic Inference.
The imposition of hard constraints on the output of neural networks is a highly desirable
capability, as it instills confidence in AI by ensuring that neural network predictions adhere to …
capability, as it instills confidence in AI by ensuring that neural network predictions adhere to …
Legal knowledge management for prosecutors based on judgment prediction and error analysis from indictments
KC Chien, CH Chang, RD Sun - Computer Law & Security Review, 2024 - Elsevier
Legal AI aims to provide improved knowledge management services based on legal
documents. Existing legal judgment prediction datasets mainly use court verdicts. However …
documents. Existing legal judgment prediction datasets mainly use court verdicts. However …
Topology-aware Multi-task Learning Framework for Civil Case Judgment Prediction
The civil case judgment prediction (CCJP) task involves automatically determining whether
the plea of a plaintiff should be supported by analyzing the given civil case materials …
the plea of a plaintiff should be supported by analyzing the given civil case materials …
Training neural networks with classification rules for incorporating domain knowledge
Neural networks are capable of learning complex concepts and tasks, given abundant
training data. In real-world applications where data collection can be difficult, integrating …
training data. In real-world applications where data collection can be difficult, integrating …
Learning legal text representations via disentangling elements
Recently, a rising number of works has been focusing on tasks in the legal field for providing
references to professionals in order to improve their work efficiency. Learning legal text …
references to professionals in order to improve their work efficiency. Learning legal text …