ROFF - A Romanian Twitter Dataset for Offensive Language

Mihai Manolescu, Çağrı Çöltekin


Abstract
This paper describes the annotation process of an offensive language data set for Romanian on social media. To facilitate comparable multi-lingual research on offensive language, the annotation guidelines follow some of the recent annotation efforts for other languages. The final corpus contains 5000 micro-blogging posts annotated by a large number of volunteer annotators. The inter-annotator agreement and the initial automatic discrimination results we present are in line with earlier annotation efforts.
Anthology ID:
2021.ranlp-1.102
Volume:
Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2021)
Month:
September
Year:
2021
Address:
Held Online
Venue:
RANLP
SIG:
Publisher:
INCOMA Ltd.
Note:
Pages:
895–900
Language:
URL:
https://aclanthology.org/2021.ranlp-1.102
DOI:
Bibkey:
Cite (ACL):
Mihai Manolescu and Çağrı Çöltekin. 2021. ROFF - A Romanian Twitter Dataset for Offensive Language. In Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2021), pages 895–900, Held Online. INCOMA Ltd..
Cite (Informal):
ROFF - A Romanian Twitter Dataset for Offensive Language (Manolescu & Çöltekin, RANLP 2021)
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PDF:
https://aclanthology.org/2021.ranlp-1.102.pdf