Towards a Corpus of Violence Acts in Arabic Social Media

Ayman Alhelbawy, Poesio Massimo, Udo Kruschwitz

Abstract
In this paper we present a new corpus of Arabic tweets that mention some form of violent event, developed to support the automatic identification of Human Rights Abuse. The dataset was manually labelled for seven classes of violence using crowdsourcing.
Anthology ID:
L16-1257
Volume:
Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC'16)
Month:
May
Year:
2016
Address:
Portorož, Slovenia
Editors:
Nicoletta Calzolari, Khalid Choukri, Thierry Declerck, Sara Goggi, Marko Grobelnik, Bente Maegaard, Joseph Mariani, Helene Mazo, Asuncion Moreno, Jan Odijk, Stelios Piperidis
Venue:
LREC
SIG:
Publisher:
European Language Resources Association (ELRA)
Note:
Pages:
1627–1631
Language:
URL:
https://aclanthology.org/L16-1257
DOI:
Bibkey:
Cite (ACL):
Ayman Alhelbawy, Poesio Massimo, and Udo Kruschwitz. 2016. Towards a Corpus of Violence Acts in Arabic Social Media. In Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC'16), pages 1627–1631, Portorož, Slovenia. European Language Resources Association (ELRA).
Cite (Informal):
Towards a Corpus of Violence Acts in Arabic Social Media (Alhelbawy et al., LREC 2016)
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PDF:
https://preview.aclanthology.org/emnlp22-frontmatter/L16-1257.pdf
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