希腊立法中有效的命名实体承认

Panteleimon Krasadakis, Evangelos Sinos, Vassilios S. Verykios, E. Sakkopoulos
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引用次数: 0

摘要

法律环境不断变得越来越复杂。人工智能和机器学习开始在许多领域大放异彩,所以我们也很自然地研究了它们在法律领域的应用。虽然许多研究人员正在研究这些技术在英语中的应用,但对于像希腊语这样资源匮乏的语言,这个领域还远未被探索。我们的工作就是朝着这个方向迈出的一步。我们描述了希腊立法的命名实体识别解决方案,并将其与可用的最先进的希腊实现进行比较,并介绍了我们的方法如何优于它们。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Efficient Named Entity Recognition on Greek Legislation
The legal landscape is constantly becoming more and more complex. Artificial Intelligence and Machine Learning are starting to shine in many fields, so it is only natural that we examine their implementation in the Legal Domain as well. While many researchers are investigating the application of these techniques in English, for low-resource languages like Greek, the field is far from explored. Our work is a step in that direction. We describe our Named Entity Recognition solution to Greek Legislation and compare it with the available state-of-the-art Greek implementations and present how our approach outperforms them.
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