Papers by Omar Hmdia

1 papers
Offensive language detection in Hebrew: can other languages help? (2022.lrec-1)

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Challenge: Various approaches for offensive language detection have been applied for this task . contamination of social networks with offensive content is a new reality affecting almost all of us .
Approach: They propose to use multiple supervised models and text representations to detect offensive language in three languages, including two Semitic languages.
Outcome: The proposed model can detect offensive content in two Semitic languages, including Hebrew and Arabic, and it is able to perform cross-lingual and multilingual learning.

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