Data sharing is a central aspect of judicial systems. The openly accessible documents can
make the judiciary system more transparent. On the other hand, the published legal …

Recognizing facts is the most fundamental step in making judgments, hence detecting
events in the legal documents is important to legal case analysis tasks. However, existing …

Event extraction, a specialized stream of information extraction rooted back into the 1980s,
has greatly gained in popularity due to the advent of big data and the developments in the …

Legal documents are unstructured, use legal jargon, and have considerable length, making
them difficult to process automatically via conventional text processing techniques. A legal …

Event extraction plays an important role in legal applications, including case push and
auxiliary judgment. However, traditional event structure cannot express the connections …

Legal systems worldwide are inundated with exponential growth in cases and documents.
There is an imminent need to develop NLP and ML techniques for automatically processing …

The automated translation of natural language text into structured logical representations is
a critical task in various applications, including legal reasoning and decision-making. This …

The analysis of court decisions and associated events is part of the daily life of many legal
practitioners. Unfortunately, since court decision texts can often be long and complex …

The law guarantees the regular functioning of the nation and society. In recent years, legal
artificial intelligence (legal AI), which aims to apply artificial intelligence techniques to …

Logic programming has long being advocated for legal reasoning, and several approaches
have been put forward relying upon explicit representation of the law in logic programming …