Enabling Deep Learning of Emotion With First-Person Seed Expressions. - Hassan Alhuzali; Muhammad Abdul-Mageed; Lyle H. Ungar (PEOPLES@NAACL-HTL, 2018)

You Tweet What You Speak: A City-Level Dataset of Arabic Dialects. - Muhammad Abdul-Mageed; Hassan Alhuzali; Mohamed Elaraby (LREC, 2018)

UBC-NLP at IEST 2018: Learning Implicit Emotion With an Ensemble of Language Models. - Hassan Alhuzali; Mohamed Elaraby; Muhammad Abdul-Mageed (WASSA@EMNLP, 2018)

Improving classification of Adverse Drug Reactions through Using Sentiment Analysis and Transfer Learning. - Hassan Alhuzali; Sophia Ananiadou (BioNLP@ACL, 2019)

Predicting Sign of Depression via Using Frozen Pre-trained Models and Random Forest Classifier. - Hassan Alhuzali; Tianlin Zhang; Sophia Ananiadou (CLEF (Working Notes), 2021)

SpanEmo: Casting Multi-label Emotion Classification as Span-prediction. - Hassan Alhuzali; Sophia Ananiadou (EACL, 2021)

Improving Textual Emotion Recognition Based on Intra- and Inter-Class Variations. - Hassan Alhuzali; Sophia Ananiadou (IEEE Trans. Affect. Comput., 2023)

Cluster-Level Contrastive Learning for Emotion Recognition in Conversations. - Kailai Yang; Tianlin Zhang; Hassan Alhuzali; Sophia Ananiadou (IEEE Trans. Affect. Comput., 2023)

PHQ-aware depressive symptoms identification with similarity contrastive learning on social media. - Tianlin Zhang; Kailai Yang; Hassan Alhuzali; Boyang Liu 002; Sophia Ananiadou (Inf. Process. Manag., 2023)

MentalQA: An Annotated Arabic Corpus for Questions and Answers of Mental Healthcare. - Hassan Alhuzali; Ashwag Alasmari; Hamad Alsaleh (IEEE Access, 2024)

Investigating Persuasion Techniques in Arabic: An Empirical Study Leveraging Large Language Models. - Abdurahmman Alzahrani; Eyad Babkier; Faisal Yanbaawi; Firas Yanbaawi; Hassan Alhuzali (CoRR, 2024)

Evaluating the Effectiveness of the Foundational Models for Q&A Classification in Mental Health care. - Hassan Alhuzali; Ashwag Alasmari (CoRR, 2024)

SaudiCulture: A benchmark for evaluating large language models' cultural competence within Saudi Arabia. - Lama Ayash; Hassan Alhuzali; Ashwag Alasmari; Sultan Aloufi (J. King Saud Univ. Comput. Inf. Sci., 2025)

Absher: A Benchmark for Evaluating Large Language Models Understanding of Saudi Dialects. - Renad Al-Monef; Hassan Alhuzali; Nora Alturayeif; Ashwag Alasmari (CoRR, 2025)