Papers by Mourad Oussalah
Data Expansion Using WordNet-based Semantic Expansion and Word Disambiguation for Cyberbullying Detection (2022.lrec-1)
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| Challenge: | Existing methods to identify cyberbullying from text are limited due to the complexity of the content and the lack of labeled large-scale corpus. |
| Approach: | They propose a data augmentation-based approach that could enhance the automatic detection of cyberbullying in social media texts. |
| Outcome: | The proposed approach overcomes limitations of social media posts with word sense disambiguation and synonymy relation . results show that the proposed approach improves on the existing classifiers with and without data augmentation. |
Finnish Hate-Speech Detection on Social Media Using CNN and FinBERT (2022.lrec-1)
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| Challenge: | Existing tools to identify hate posts from social media are limited in the field of online hate speech detection. |
| Approach: | They propose to use finBERT to generate a Finnish hate speech dataset . finBERt has a 91.7% accuracy and 90.8% F1 score value, they say . |
| Outcome: | The proposed model outperforms state-of-the-art models in Finnish and other languages. |
Causal Evidence Extraction and Triangulation in Crisis Reports using Large Language Models: A ReliefWeb-based Study (2026.findings-acl)
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| Challenge: | Humanitarian crises generate large volumes of narrative situation reports describing interventions and evolving outcomes. |
| Approach: | They propose a large language model pipeline that extracts structured intervention-outcome records with direction and strength attributes. |
| Outcome: | The proposed pipeline extracts structured intervention-outcome records with direction and strength attributes. |