This research is an attempt to address the complication of bridging the gap between the traditional systems and the future of legal systems. We discuss one of the facets of the process of legal understanding and decision-making in the court of law, as well as aim to increase general public comprehension on the topic of constitutional importance. We focus on a selected list of documents gathered through citation network analysis, and using the knowledge of the Sections in the Income Tax Act of India which govern them; after processing the proceedings identified, through the proposed technique. The resulting triples are used to evaluate the similarity of such legal documents.
@InProceedings{MINOCHA18.9, author = {Akshay Minocha and Navjyoti Singh}, title = {Legal Document Similarity using Triples Extracted from Unstructured Text }, booktitle = {Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018)}, year = {2018}, month = {may}, date = {7-12}, location = {Miyazaki, Japan}, editor = {Georg Rehm and Víctor Rodríguez-Doncel and Julián Moreno-Schneider}, publisher = {European Language Resources Association (ELRA)}, address = {Paris, France}, isbn = {979-10-95546-18-4}, language = {english} }
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