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<record>
  <title>Information Retrieval Evaluation using Artificial Intelligence Legal Framework</title>
  <journal>Journal of Data Processing</journal>
  <author>Jiaming Gao, Hui Ning, Huilin Sun, Ruifeng Liu, Zhongyuan Han, Leilei Kong, Haoliang Qi</author>
  <volume>10</volume>
  <issue>2</issue>
  <year>2020</year>
  <doi>https://doi.org/10.6025/jdp/2020/10/2/47-51</doi>
  <url>https://www.dline.info/jdp/fulltext/v10n2/jdpv10n2_1.pdf</url>
  <abstract>In this current exercise, we took the FIRE dataset and evaluated the Information Retrieval task using a framework called as Task 1. The Artificial Intelligence Framework for Legal Assistance is used to evaluate the results with the cases for a given situation. In this work the topic terms are extracted for a specific condition and queries are assessed for identification of earlier similar cases. The results are posted in this paper.</abstract>
</record>
