A vector space model for automatic indexing
Communications of the ACM
Phrase-based Document Similarity Based on an Index Graph Model
ICDM '02 Proceedings of the 2002 IEEE International Conference on Data Mining
What do People Want from Information Retrieval? (The Top 10 ResearchIssues for Companies that Use and Sell IR Systems)
Term Weighting Approaches in Automatic Text Retrieval
Term Weighting Approaches in Automatic Text Retrieval
Semantics-based legal citation network
Proceedings of the 11th international conference on Artificial intelligence and law
Information Processing and Management: an International Journal
Improving legal information retrieval using an ontological framework
Artificial Intelligence and Law
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In this paper, we have made an effort to propose approaches to find similar legal judgements by extending the popular techniques used in information retrieval and search engines. Legal judgements are complex in nature and refer other judgements. We have analyzed all-term, legal-term, co-citation and bibliographic coupling-based similarity methods to find similar judgements. The experimental results show that the legal-term cosine similarity method performs better than all-term cosine similarity method. Also, the results show that bibliographic coupling similarity method improves the performance over co-citation approach.