Bhoomeendra Singh Sisodiya, MS student working with Prof. P Krishna Reddy presented a paper on Analysing the Resourcefulness of the Paragraph for Precedence Retrieval at the Nineteenth International Conference on Artificial Intelligence and Law (ICAIL 2023) held at Braga, Portugal from 19 – 23 June. The authors of this paper are Bhoomeendra Singh Sisodiya; Prof. P Krishna Reddy; (Apala Das; K V K Santhy and V Balakista Reddy from NALSAR Hyderabad). It is as a part of a project supported by i-Hub Anubhuti, Delhi.
Research work as explained by the authors:
Developing methods for extracting relevant legal information to aid
legal practitioners is an active research area. In this regard, research efforts are being made by leveraging different kinds of information, such as meta-data, citations, keywords, sentences, paragraphs, etc.
Similar to any text document, legal documents are composed of paragraphs. In this paper, we have analysed the resourcefulness of paragraph-level information in capturing similarity among judgments for improving the performance of precedence retrieval. We found that the paragraph-level methods could capture the similarity among the judgments with only a few paragraph interactions and exhibit more discriminating power over the baseline document-level method. Moreover, the comparison results on two benchmark datasets for the precedence retrieval on the Indian supreme court judgments task show that the paragraph-level methods exhibit comparable performance with the state-of-the-art methods.
Conference page: https://icail2023.di.uminho.pt/