Overview of the FIRE 2019 AILA Track: Artificial Intelligence for Legal Assistance

Paheli Bhattacharya, Kripabandhu Ghosh, Saptarshi Ghosh, Arindam Pal, Parth Mehta, Arnab Bhattacharya, Prasenjit Majumder
2019 Forum for Information Retrieval Evaluation  
The FIRE 2019 AILA track focused on creating a framework for evaluating different methods of retrieving relevant prior/precedent cases and statutes given a factual scenario. There were two tasks for this track: (i) Identifying relevant prior cases for a given situation (Precedent Retrieval), and (ii) Identifying most relevant statutes for a given situation (Statute Retrieval). Given a situation that can lead to filing a case, the precedent retrieval task aims at finding case documents where
more » ... lar legal situations were addressed. The statute retrieval task aims at finding relevant statutes that are applicable to the situation. The factual scenarios, statutes and prior case documents used in the tasks were from the Indian Supreme Court judiciary.
dblp:conf/fire/BhattacharyaG0019a fatcat:djuswzqn2bgmzaoc7vvzz43irq