An Ontology Driven Question Answering System for Legal Documents
G. S. Veena, Deepa Gupta, Akshay Anil, S. Akhil · 2019
This paper presents an ontology-driven question- answering system for Motor Vehicle Department(MVD). The MVD uses the motor vehicle act that regulates almost all the aspects of road transport vehicles. It defines a set of offenses and related penalties. At present all this information are unstructured, so in this work, we propose a Natural Language Processing(NLP) based structured representation for these offenses and its related penalties. We have used Semantic Role Labeling(SRL) to identify the roles of each word in the offenses. We use the result of SRL to create the ontology.