Drug-drug interactions (DDIs) are a leading cause of preventable adverse drug events, and the standard benchmark corpus for extracting them from biomedical text is severely im-balanced towards non-interacting pairs, making rare interaction types hard to learn. We asked whether combining focal loss, entity-aware transfo...
Hiba Chanaa, E. Nfaoui, Chafik Boulealam et al.· International Journal of Adv...· 0 citations
Sequential recommender systems predict the next item from a chronological interaction history, typically representing users and items as point embeddings scored by dot product. DISR (Distributional Item Representations for Sequential Recommendation) instead represents items and sequence queries as diagonal Gaussian dis...
Abdelilah Bajjou, E. Nfaoui· International Journal of Adv...· 0 citations
Multimodal aspect-based sentiment analysis (MABSA) predicts the sentiment expressed toward a target aspect by jointly using textual and visual information, supporting fine-grained opinion analysis in product reviews, brand monitoring, and customer feedback. However, existing approaches remain sensitive to irrelevant vi...
Ismail Ifakir, E. Nfaoui, Abderrahim Zannou· Symmetry· 0 citations
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