The rapid development of Large Language Models (LLMs) demonstrates remarkable
multilingual capabilities in natural language processing, attracting global attention in both …

The assessment of explainability in Legal Judgement Prediction (LJP) systems is of
paramount importance in building trustworthy and transparent systems, particularly …

Resolving the scope of a negation within a sentence is a challenging NLP task. The
complexity of legal texts and the lack of annotated in-domain negation corpora pose …

Sentence boundary detection (SBD) represents an important first step in natural language
processing since accurately identifying sentence boundaries significantly impacts …

In recent years, Brazil's federal judicial system has embraced digitalization, making a large
amount of legal process information available to citizens and legal experts. Despite the …

Releasing court decisions to the public relies on proper anonymization to protect all involved
parties, where necessary. The Swiss Federal Supreme Court relies on an existing system …

Sentence splitting, that is the segmentation of the raw input text into sentences, is a
fundamental step in text processing. Although it is considered a solved task for texts such as …