IITP at AILA 2019: System Report for Artificial Intelligence for Legal Assistance Shared Task

In this article, we present a description of our systems as a part of our\nparticipation in the shared task namely Artificial Intelligence for Legal\nAssistance (AILA 2019). This is an integral event of Forum for Information\nRetrieval Evaluation-2019. The outcomes of this track would be helpful for the\nautomation of the working process of the Indian Judiciary System. The manual\nworking procedures and documentation at any level (from lower to higher court)\nof the judiciary system are very complex in nature. The systems produced as a\npart of this track would assist the law practitioners. It would be helpful for\ncommon men too. This kind of track also opens the path of research of Natural\nLanguage Processing (NLP) in the judicial domain. This track defined two\nproblems such as Task 1: Identifying relevant prior cases for a given situation\nand Task 2: Identifying the most relevant statutes for a given situation. We\ntackled both of them. Our proposed approaches are based on BM25 and Doc2Vec. As\nper the results declared by the task organizers, we are in 3rd and a modest\nposition in Task 1 and Task 2 respectively.\n