Lawyer Intellectual Role of Information Extraction from Legal Document

Abstract

is to create a summary which is near to human produced summaries. There are many methods emerged in last years for text summarization. These methods can be classified into three main classes, supervised approaches, unsupervised approaches and citation based approaches. All of these methods have limitations in different aspects like computational time and accuracy. Literature review reveals promising results in past for text summarization but requires further improvement in both areas accuracy and computational time. Our research is focused on development of system for automatic legal text summarization using novel technique on a large set of ISLAMABAD HIGH COURT JUDGMENT, HIGH COURT OF JUSTICE QUEEN'S BENCH DIVISION. Moreover, we will perform the investigation of proposed approach with state of-the-art text summarization especially in legal domain.