Analysing the Resourcefulness of the Paragraph for Precedence Retrieval
Bhoomeendra Singh Sisodiya Narendra Babu Unnam P. Krishna Reddy Apala Das K. V. K. Santhy V. Balakista Reddy
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 analyzed 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