@inproceedings{stankovic-etal-2020-multi,
title = "Multi-word Expressions for Abusive Speech Detection in {S}erbian",
author = "Stankovi{\'c}, Ranka and
Mitrovi{\'c}, Jelena and
Joki{\'c}, Danka and
Krstev, Cvetana",
editor = "Markantonatou, Stella and
McCrae, John and
Mitrovi{\'c}, Jelena and
Tiberius, Carole and
Ramisch, Carlos and
Vaidya, Ashwini and
Osenova, Petya and
Savary, Agata",
booktitle = "Proceedings of the Joint Workshop on Multiword Expressions and Electronic Lexicons",
month = dec,
year = "2020",
address = "online",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2020.mwe-1.10",
pages = "74--84",
abstract = "This paper presents our work on the refinement and improvement of the Serbian language part of Hurtlex, a multilingual lexicon of words to hurt. We pay special attention to adding Multi-word expressions that can be seen as abusive, as such lexical entries are very important in obtaining good results in a plethora of abusive language detection tasks. We use Serbian morphological dictionaries as a basis for data cleaning and MWE dictionary creation. A connection to other lexical and semantic resources in Serbian is outlined and building of abusive language detection systems based on that connection is foreseen.",
}
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%0 Conference Proceedings
%T Multi-word Expressions for Abusive Speech Detection in Serbian
%A Stanković, Ranka
%A Mitrović, Jelena
%A Jokić, Danka
%A Krstev, Cvetana
%Y Markantonatou, Stella
%Y McCrae, John
%Y Mitrović, Jelena
%Y Tiberius, Carole
%Y Ramisch, Carlos
%Y Vaidya, Ashwini
%Y Osenova, Petya
%Y Savary, Agata
%S Proceedings of the Joint Workshop on Multiword Expressions and Electronic Lexicons
%D 2020
%8 December
%I Association for Computational Linguistics
%C online
%F stankovic-etal-2020-multi
%X This paper presents our work on the refinement and improvement of the Serbian language part of Hurtlex, a multilingual lexicon of words to hurt. We pay special attention to adding Multi-word expressions that can be seen as abusive, as such lexical entries are very important in obtaining good results in a plethora of abusive language detection tasks. We use Serbian morphological dictionaries as a basis for data cleaning and MWE dictionary creation. A connection to other lexical and semantic resources in Serbian is outlined and building of abusive language detection systems based on that connection is foreseen.
%U https://aclanthology.org/2020.mwe-1.10
%P 74-84
Markdown (Informal)
[Multi-word Expressions for Abusive Speech Detection in Serbian](https://aclanthology.org/2020.mwe-1.10) (Stanković et al., MWE 2020)
ACL