A Dataset of Offensive German Language Tweets Annotated for Speech Acts

被引：0
|
作者：
Plakidis, Melina [1 ,2 ]
Rehm, Georg [1 ,2 ]
机构：
[1] DFKI GmbH, Alt Moabit 91C, D-10559 Berlin, Germany
[2] Humboldt Univ, Dorotheenstr 24, D-10117 Berlin, Germany
来源：
LREC 2022: THIRTEEN INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION | 2022年
关键词：
Speech acts; hate speech detection; offensive language; annotation; corpus annotation;
D O I：
暂无
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
We present a dataset consisting of German offensive and non-offensive tweets, annotated for speech acts. These 600 tweets are a subset of the dataset by (Stru beta et al., 2019) and comprises three levels of annotation, i. e., six coarse-grained speech acts, 23 fine-grained speech acts and 14 different sentence types. Furthermore, we provide an evaluation in both qualitative and quantitative terms. The dataset is made publicly available under a CC-BY-4.0 license.
引用
收藏
页码：4799 / 4807
页数：9
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