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 …
Heproto: A hierarchical enhancing protonet based on multi-task learning for few-shot named entity recognition
Few-shot Named Entity Recognition (NER) task, which aims to identify and classify entities
from different domains with limited training samples, has long been treated as a basic step …
from different domains with limited training samples, has long been treated as a basic step …
The Craft of Selective Prediction: Towards Reliable Case Outcome Classification--An Empirical Study on European Court of Human Rights Cases
In high-stakes decision-making tasks within legal NLP, such as Case Outcome Classification
(COC), quantifying a model's predictive confidence is crucial. Confidence estimation …
(COC), quantifying a model's predictive confidence is crucial. Confidence estimation …
Post-hoc Facts augmented Legal Judgment Prediction
Abstract Legal Judgment Prediction (LJP) has emerged as a fundamental aspect of legal AI
systems, encompassing both civil and criminal cases. In this paper, we focus on civil LJP …
systems, encompassing both civil and criminal cases. In this paper, we focus on civil LJP …