Analysis of Slovak Court Decisions by Formal Concept Analysis and Machine Learning Methods

被引：0

作者：

Szoplak, Zoltan ^{[1
]}

Varga, David ^{[1
]}

Horvat, Simon ^{[1
]}

Gursky, Peter ^{[1
]}

Antoni, L'ubomir ^{[1
]}

Kridlo, Ondrej ^{[1
]}

Krajci, Stanislav ^{[1
]}

机构：

[1] Pavol Jozef Safarik Univ KoSice, Fac Sci, Inst Comp Sci, Kosice 04180, Slovakia

来源：

GRAPH-BASED REPRESENTATION AND REASONING, ICCS 2023 | 2023年 / 14133卷

关键词：

Formal Concept Analysis; text analysis; court decisions;

D O I：

10.1007/978-3-031-40960-8_18

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The applications of machine learning and artificial intelligence methods in the natural language processing of court decisions have become an important research topic worldwide. In this paper, we review our datasets and recent results in the field of natural language processing of Slovak court decisions, including the graph-based word embedding methods. We also explore the automated assignment of relevant keywords to Slovak court decisions. Moreover, we applied the methods of Formal concept analysis to Slovak court decisions to explore the relationships between their attributes.

引用

页码：201 / 204

页数：4

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