A Natural Language Processing Survey on Legislative and Greek Documents

被引:2
作者
Krasadakis, Panteleimon [1 ]
Sakkopoulos, Evangelos [1 ]
Verykios, Vassilios S. [2 ]
机构
[1] Univ Piraeus, Dept Informat, Piraeus, Greece
[2] Hellen Open Univ, Sch Sci & Technol, Patras, Greece
来源
25TH PAN-HELLENIC CONFERENCE ON INFORMATICS WITH INTERNATIONAL PARTICIPATION (PCI2021) | 2021年
关键词
Natural Language Processing; Deep Learning; Information Extraction;
D O I
10.1145/3503823.3503898
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
Natural Language Processing is developing rapidly alongside the various complex applications that make use of it and they will depend on it even further in the future. It has many challenges that require the attention of both researchers and businesses. The state-of-the-art approaches usually involve the implementation of Deep Learning Neural Networks. Our work serves as a rigorous research of the bibliography on the field focusing on Legal and Greek documents. We also present the current challenges of the field and some future considerations.
引用
收藏
页码:407 / 412
页数:6
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