Legal judgment prediction (LJP) applies Natural Language Processing (NLP) techniques to
predict judgment results based on fact descriptions automatically. The present work …

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 …

Automated legal text classification is a prominent research topic in the legal field. It lays the
foundation for building an intelligent legal system. Current literature focuses on international …

When courts started publishing judgements, big data analysis (ie large-scale statistical
analysis of case law and machine learning) within the legal domain became possible. By …

Legal judgment prediction is the task of automatically predicting the outcome of a court case,
given a text describing the case's facts. Previous work on using neural models for this task …

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 …

In this paper, we discuss previous research in automatic prediction of court decisions. We
define the difference between outcome identification, outcome-based judgement …

An automated system that could assist a judge in predicting the outcome of a case would
help expedite the judicial process. For such a system to be practically useful, predictions by …

In this paper, we investigate the application of text classification methods to support law
professionals. We present several experiments applying machine learning techniques to …

Natural language processing (NLP) based approaches have recently received attention for
legal systems of several countries. It is of interest to study the wide variety of legal systems …