Automatic Summarization with Keyword for Legal Texts
Journal Title: Rahva Journal of Technical and Social Studies - Year 2021, Vol 1, Issue 1
Abstract
In legal cases, the decisions made by the previous courts for similar cases affect the determination of current courts. Therefore, lawyers do research to reach similar cases and results. The existence of different precedent decisions regarding the situation sought in the legal texts requires the examination of more than one court result text according to the search made by the user. The high number of texts and the high size of the texts cause a significant time and effort to open by the user. The use of summary texts for decisions will reduce this time and effort to a more reasonable level of use. Therefore, this study aim to develop an automatic summarization system for these legal texts. For this purpose, frequency base, undirected graph base, weighted graph base summarization extraction methods have applied. In addition, a hybrid method that consists frequency base and weighted graph base summarization has applied. This method has best results.
Authors and Affiliations
Erol GÖDUR
Keywords
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