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Enabling Deep Learning of Emotion With First-Person Seed Expressions.

, , and . PEOPLES@NAACL-HTL, page 25-35. Association for Computational Linguistics, (2018)

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You Tweet What You Speak: A City-Level Dataset of Arabic Dialects., , and . LREC, European Language Resources Association (ELRA), (2018)UBC-NLP at IEST 2018: Learning Implicit Emotion With an Ensemble of Language Models., , and . WASSA@EMNLP, page 342-347. Association for Computational Linguistics, (2018)Cluster-Level Contrastive Learning for Emotion Recognition in Conversations., , , and . CoRR, (2023)MentalQA: An Annotated Arabic Corpus for Questions and Answers of Mental Healthcare., , and . IEEE Access, (2024)SpanEmo: Casting Multi-label Emotion Classification as Span-prediction., and . EACL, page 1573-1584. Association for Computational Linguistics, (2021)Predicting Sign of Depression via Using Frozen Pre-trained Models and Random Forest Classifier., , and . CLEF (Working Notes), volume 2936 of CEUR Workshop Proceedings, page 888-896. CEUR-WS.org, (2021)Improving classification of Adverse Drug Reactions through Using Sentiment Analysis and Transfer Learning., and . BioNLP@ACL, page 339-347. Association for Computational Linguistics, (2019)Enabling Deep Learning of Emotion With First-Person Seed Expressions., , and . PEOPLES@NAACL-HTL, page 25-35. Association for Computational Linguistics, (2018)Investigating Persuasion Techniques in Arabic: An Empirical Study Leveraging Large Language Models., , , , and . CoRR, (2024)Evaluating the Effectiveness of the Foundational Models for Q&A Classification in Mental Health care., and . CoRR, (2024)