Abstract
Legal judgements are complex in nature and contain citations of other judgements. Research efforts are going on to develop methods for efficient search of relevant legal information by extending the popular approaches used in information retrieval and web searching research areas. In the literature, it was shown that it is possible to find similar judgements by exploiting citations or links. In this paper, an approach has been has been proposed using the notion of “paragraph-link” to improve the efficiency of link-based similarity method. The experiments on real-world data set and user evaluation study show the encouraging results.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Lieberman, H.: Letizia: an agent that assists web browsing. In: Proceedings of the 14th International Joint Conference on Artificial Intelligence, vol. 1 (1995)
Maes, P.: Agents that reduce work and information overload. Communications of ACM (1994)
Zhang, P., Koppaka, L.: Semantics-based legal citation network. In: Proceedings of the 11th International Conference on Artificial Intelligence and Law, ICAIL 2007 (2007)
Bourcier, D., de Rosnay, M.D., Legrand, J.: Methodological perspectives for legal ontologies building: an interdisciplinary experience. In: Proceedings of the 10th International Conference on Artificial Intelligence and law, ICAIL 2005 (2005)
Guiraude, L., Sylvie, D.: Updating ontologies in the legal domain. In: Proceedings of the 10th International Conference on Artificial Intelligence and Law, ICAIL 2005 (2005)
Al-Kofahi, K., Tyrrell, A., Vachher, A., Jackson, P.: A machine learning approach to prior case retrieval. In: Proceedings of the 8th International Conference on Artificial Intelligence and Law, ICAIL 2001 (2001)
Kumar, S., Reddy, P.K., Reddy, V.B., Singh, A.: Similarity analysis of legal judgments. In: Proceedings of the Fourth Annual ACM Bangalore Conference (2011)
Moens, M.-F., Uyttendaele, C., Dumortier, J.: Abstracting of legal cases: the SALOMON experience. In: Proceedings of the 6th International Conference on Artificial Intelligence and Law, ICAIL 1997 (1997)
Bruninghaus, S., Ashley, K.D.: Improving the representation of legal case texts with information extraction methods. In: Proceedings of the 8th International Conference on Artificial Intelligence and Law, ICAIL 2001 (2001)
Thompson, P.: Automatic categorization of case law. In: Proceedings of the 8th International Conference on Artificial Intelligence and Law, ICAIL 2001 (2001)
Branting, L.K.: Building explanations from rules and structured cases. International Journal of Man-Machine Studies (1991)
Rissland, E.L., Skalak, D.B.: CABARET: rule interpretation in a hybrid architecture. International Journal of Man-Machine Studies (1991)
Schweighofer, E., Rauber, A., Dittenbach, M.: Automatic text representation, classification and labeling in European law. In: Proceedings of the 8th International Conference on Artificial Intelligence and Law, ICAIL 2001 (2001)
Moens, M.-F.: Summarizing court decisions. Inf. Process. Manage. (2007)
Saravanan, M., Ravindran, B., Raman, S.: Improving Legal Document Summarization Using Graphical Models. In: Proceedings of the 2006 Conference on Legal Knowledge and Information Systems (2006)
Salton, G., Buckley, C.: Term-weighting approaches in automatic text retrieval. Information Processing and Management (1988)
Salton, G., Wong, A., Yang, C.S.: A vector space model for automatic indexing. Communication of ACM (1975)
Damashek, M.: Gauging Similarity with n-Grams: Language-Independent Categorization of Text. Science (1995)
Deerwester, S., Dumais, S.T., Furnas, G.W., Landauer, T.K., Harshman, R.: Indexing by latent semantic analysis. Journal of the American Society for Information Science (1990)
Brin, S., Page, L.: The anatomy of a large-scale hypertextual Web search engine. Computer Networks (1998)
Dean, J., Henzinger, M.R.: Finding related pages in the World Wide Web. Computer Networks 31, 1467–1479 (1999)
Salton, G., Allan, J., Buckley, C., Singhal, A.: Automatic analysis, theme generation, and summarization of machine-readable texts. Readings in Information Visualization (1992)
Kleinberg, J.M.: Authoritative sources in a hyperlinked environment. Journal of ACM 46, 604–632 (1999)
Kessler, M.M.: bibliographic coupling between scientific paper. American Documentation (1963)
Small, H.: Co-citation in the scientific literature: A new measure of the relationship between two documents. Journal of the American Society for Information Science (1973)
Salton, G., Buckley, C.: Automatic text structuring and retrieval-experiments in automatic encyclopedia searching. In: Proceedings of the 14th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 1991 (1991)
Green, S.J.: Automated link generation: can we do better than term repetition? In: Proceedings of the Seventh International Conference on World Wide Web 7, WWW7 (1998)
Lelu, A.: Automatic generation of hyper-paths in information retrieval systems: a stochastic and an incremental algorithms. In: Proceedings of the 14th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 1991 (1991)
Supreme court of India Judgments (May 2010), http://www.commonlii.org/in/cases/INSC/
Porter stemming algorithm (September 2010), http://tartarus.org/~martin/PorterStemmer
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2013 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Kumar, S., Reddy, P.K., Reddy, V.B., Suri, M. (2013). Finding Similar Legal Judgements under Common Law System. In: Madaan, A., Kikuchi, S., Bhalla, S. (eds) Databases in Networked Information Systems. DNIS 2013. Lecture Notes in Computer Science, vol 7813. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-37134-9_9
Download citation
DOI: https://doi.org/10.1007/978-3-642-37134-9_9
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-37133-2
Online ISBN: 978-3-642-37134-9
eBook Packages: Computer ScienceComputer Science (R0)