Iterative Concept-Based Clustering of Indian Court Judgments-Reference-Cited by-同舟云学术

Iterative Concept-Based Clustering of Indian Court Judgments

Published:2018 Issue: Volume: Page:91-103
ISSN:2194-5357
Container-title:Proceedings of the Second International Conference on Computational Intelligence and Informatics
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Author:

Mathai Sumi,Gupta Deepa,Radhakrishnan G.

Publisher

Springer Singapore

Link

http://link.springer.com/content/pdf/10.1007/978-981-10-8228-3_10

Reference21 articles.

1. Rupali Sunil Wagh.: Exploratory Analysis of Legal Documents using Unsupervised Text Mining Techniques. In: International Journal of Engineering Research & Technology (IJERT), Vol. 3 Issue 2, February 2014.

2. Sushanta Kumar.: Similarity Analysis of Legal Judgments and applying ‘Paragraph-link’ to Find Similar Legal Judgments. IIIT/TH/2014/9, 2014.

3. Ravi Kumar V, K. Raghuveer.: Legal Documents Clustering using Latent Dirichlet Allocation. In: International Journal of Applied Information Systems (IJAIS) 2(6): 27–33, May 2012.

4. Filippo Galgani, Paul Compton, and Achim Hoffmann.: Towards Automatic Generation of catchphrases for Legal Case Reports. In: Springer-Verlag Berlin Heidelberg 2012 LNCS 7182, pp. 415–426 (2012).

5. Atefeh Farzindar and Guy Lapalme.: Legal Texts Summarization by Exploration of the Thematic Structures and Argumentative Roles. RALI, Département d’Informatique et recherche opérationnelle. Université de Montréal, Québec, Canada, H3C 3J7(2004).

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