Enhancement of Bag-of-Words for Legal documents using Legal Statute

Abstract

In this paper Legal statute related to dowry acts has been processed to obtain a distinct set of legal keywords which don't have a common occurrence in day to day dowry case judgments. This effort coupled with the knowledge of legal expert would give a very much broadened scope for the BoW. These keywords are very rich in concept and well connected to the domain of dowry acts. The earlier work [22] constructed BoW for dowry case notes of judgments. Current work tries to improve the BoW by widening the scope of dowry related cases. This enriches the Bag-of-Words with high probability legal terms taking precedence over low probability non-legal terms. The enriched BoW set when put through any of the similarity measures or machine learning techniques is bound to give better results when compared to earlier BoW[22].