Predicting case outcomes is useful for legal professionals to understand case law, file a
lawsuit, raise a defense, or lodge appeals, for instance. However, it is very hard to predict …

Abstract Legal Judgment Prediction (LJP) is a significant task of legal intelligence. Its
objective is to predict the relevant law articles, charges, and terms of penalty based on fact …

Statutory article retrieval is the task of automatically retrieving law articles relevant to a legal
question. While recent advances in natural language processing have sparked considerable …

Causal inference is the process of capturing cause-effect relationship among variables. Most
existing works focus on dealing with structured data, while mining causal relationship …

As part of growing NLP capabilities, coupled with an awareness of the ethical dimensions of
research, questions have been raised about whether particular datasets and tasks should …

Semantic information in judgement documents has been an important source in Artificial
Intelligence and Law. Sequential representation is the traditional structure for analyzing …

In this work, we study the task of classifying legal texts written in the Greek language. We
introduce and make publicly available a novel dataset based on Greek legislation …

Prompt tuning (PT) which only tunes the embeddings of an additional sequence of tokens
per task, keeping the pre-trained language model (PLM) frozen, has shown remarkable …

The capability of learning and generalizing from very few samples successfully is a
noticeable demarcation separating artificial intelligence and human intelligence. Despite the …

The rapid development of natural language processing (NLP) technologies has enabled the
emergence of legal intelligence assistance systems, with legal charge prediction (LCP) …