Detection of Abusive Speech for Mixed Sociolects of Russian and Ukrainian Languages

被引：0
|
作者：
Andrusyak, Bohdan [1 ]
Rimel, Mykhailo [2 ]
Kern, Roman [1 ]
机构：
[1] Know Ctr, Inffeldgasse 13, A-8010 Graz, Austria
[2] Grenoble INP, 46 Ave Felix Viallet, F-38031 Grenoble, France
来源：
RASLAN 2018: RECENT ADVANCES IN SLAVONIC NATURAL LANGUAGE PROCESSING | 2018年
关键词：
Russian; Ukrainian; abusive speech;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Uncontrolled use of abusive language is a problem in modern society. Development of automatic tools for detecting abusive and hate speech has been an active research topic in the past decade. However, very little research has been done on this topic for Russian and Ukrainian languages. To our best knowledge, no research considered surzhyk(3). We propose to use unsupervised probabilistic technique with a seed dictionary for detecting abusive comments in social media in Russian and Ukrainian languages. We demonstrate that this approach is feasible and is able to detect abusive terms that are not present in the seed dictionary.
引用
收藏
页码：77 / 84
页数：8
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