{"id":11715,"date":"2021-07-13T13:39:00","date_gmt":"2021-07-13T10:39:00","guid":{"rendered":"https:\/\/umram.bilkent.edu.tr\/?p=11715"},"modified":"2021-07-13T13:39:23","modified_gmt":"2021-07-13T10:39:23","slug":"hukukta-dogal-dil-isleme","status":"publish","type":"post","link":"https:\/\/umram.bilkent.edu.tr\/index.php\/tr\/2021\/07\/13\/hukukta-dogal-dil-isleme\/","title":{"rendered":"Hukukta Do\u011fal Dil \u0130\u015fleme"},"content":{"rendered":"
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\u201cHukuk Metinlerinde Yapay Zeka Uygulamalar\u0131 i\u00e7in Do\u011fal Dil \u0130\u015fleme ve Makine \u00d6\u011frenimi Teknikleri\u201d adl\u0131 T\u00dcB\u0130TAK 1001 Projesinin bir sonucu olarak Ko\u00e7Lab, Bilgi \u0130\u015flem ve Y\u00f6netim alan\u0131nda bir dergi makalesinin yay\u0131nland\u0131\u011f\u0131n\u0131 duyurmaktan mutluluk duyar. \u201cHukukta Do\u011fal Dil \u0130\u015fleme: T\u00fcrkiye Y\u00fcksek Mahkemelerinde Sonu\u00e7lar\u0131n Tahmini\u201d ba\u015fl\u0131kl\u0131 bildiri, T\u00fcrk Hukuk Sistemini kapsaml\u0131 bir \u015fekilde ele alan ve T\u00fcrkiye Cumhuriyetin hukuk sistemi i\u00e7in Do\u011fal Dil \u0130\u015fleme (NLP) tekniklerini geli\u015ftiren \u00f6nc\u00fc bir \u00e7al\u0131\u015fmad\u0131r.<\/span><\/div>\n<\/div>\n
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Bu \u00e7al\u0131\u015fma, incelenen mahkeme say\u0131s\u0131 ve kullan\u0131lan algoritma say\u0131s\u0131 a\u00e7\u0131s\u0131ndan literat\u00fcrdeki di\u011fer hukuk sistemlerindeki ve dillerdeki benzer \u00e7al\u0131\u015fmalardan daha geni\u015ftir. \u00c7al\u0131\u015fma ayr\u0131ca baz\u0131 pratik uygulamalar\u0131 ve bu t\u00fcr makine tabanl\u0131 tahmin sistemlerinin kullan\u0131m\u0131n\u0131n yasal ve etik sonu\u00e7lar\u0131n\u0131 tart\u0131\u015f\u0131yor. Bu nedenle, \u00fclkemiz hukuk sistemi i\u00e7in sadece NLP ve AI’ye \u00f6nc\u00fcl\u00fck etmekle kalmaz, ayn\u0131 zamanda bu alanda yap\u0131lacak daha sonraki \u00e7al\u0131\u015fmalar i\u00e7in bir referans noktas\u0131 ve temel olu\u015fturur.<\/div>\n
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Makaleye buradan<\/a> ula\u015fabilirsiniz.<\/div>\n
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Abstract:<\/strong><\/p>\n

Natural language processing (NLP) based approaches have recently received attention for legal systems of several countries. It is of interest to study the wide variety of legal systems that have so far not received any attention. In particular, for the legal system of the Republic of Turkey, codified in Turkish, no works have been published. We first review the state-of-the-art of NLP in law, and then study the problem of predicting verdicts for several different courts, using several different algorithms. This study is much broader than earlier studies in the number of different courts and the variety of algorithms it includes. Therefore it provides a reference point and baseline for further studies in this area. We further hope the scope and systematic nature of this study can set a framework that can be applied to the study of other legal systems. We present novel results on predicting the rulings of the Turkish Constitutional Court and Courts of Appeal, using only fact descriptions, and without seeing the actual rulings. The methods that are utilized are based on Decision Trees (DTs), Random Forests (RFs), Support Vector Machines (SVMs) and state-of-the-art deep learning (DL) methods; specifically Gated Recurrent Units (GRUs), Long Short-Term Memory networks (LSTMs) and bidirectional LSTMs (BiLSTMs), with the integration of an attention mechanism for each model. The prediction results for all algorithms are given in a comparative and detailed manner. We demonstrate that outcomes of the courts of Turkish legal system can be predicted with high accuracy, especially with deep learning based methods. The presented results exhibit similar performance to earlier work in the literature for other languages and legal systems.<\/p>\n<\/div>\n","protected":false},"excerpt":{"rendered":"

\u201cHukuk Metinlerinde Yapay Zeka Uygulamalar\u0131 i\u00e7in Do\u011fal Dil \u0130\u015fleme ve Makine \u00d6\u011frenimi Teknikleri\u201d adl\u0131 T\u00dcB\u0130TAK 1001 Projesinin bir sonucu olarak Ko\u00e7Lab, Bilgi \u0130\u015flem ve Y\u00f6netim alan\u0131nda bir dergi makalesinin yay\u0131nland\u0131\u011f\u0131n\u0131 duyurmaktan mutluluk duyar. \u201cHukukta Do\u011fal Dil \u0130\u015fleme: T\u00fcrkiye Y\u00fcksek Mahkemelerinde Sonu\u00e7lar\u0131n Tahmini\u201d ba\u015fl\u0131kl\u0131 bildiri, T\u00fcrk Hukuk Sistemini kapsaml\u0131 bir \u015fekilde ele alan ve T\u00fcrkiye Cumhuriyetin […]<\/p>\n","protected":false},"author":7,"featured_media":11713,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":[],"categories":[445],"tags":[],"_links":{"self":[{"href":"https:\/\/umram.bilkent.edu.tr\/index.php\/wp-json\/wp\/v2\/posts\/11715"}],"collection":[{"href":"https:\/\/umram.bilkent.edu.tr\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/umram.bilkent.edu.tr\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/umram.bilkent.edu.tr\/index.php\/wp-json\/wp\/v2\/users\/7"}],"replies":[{"embeddable":true,"href":"https:\/\/umram.bilkent.edu.tr\/index.php\/wp-json\/wp\/v2\/comments?post=11715"}],"version-history":[{"count":3,"href":"https:\/\/umram.bilkent.edu.tr\/index.php\/wp-json\/wp\/v2\/posts\/11715\/revisions"}],"predecessor-version":[{"id":11719,"href":"https:\/\/umram.bilkent.edu.tr\/index.php\/wp-json\/wp\/v2\/posts\/11715\/revisions\/11719"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/umram.bilkent.edu.tr\/index.php\/wp-json\/wp\/v2\/media\/11713"}],"wp:attachment":[{"href":"https:\/\/umram.bilkent.edu.tr\/index.php\/wp-json\/wp\/v2\/media?parent=11715"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/umram.bilkent.edu.tr\/index.php\/wp-json\/wp\/v2\/categories?post=11715"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/umram.bilkent.edu.tr\/index.php\/wp-json\/wp\/v2\/tags?post=11715"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}