A lightweight multilingual encoder system with joint training and adaptive ensemble achieves top-half rankings across datasets in SemEval-2026 dimensional aspect sentiment regression.
IEEE Transactions on Knowledge and Data Engineering , volume=
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DreamerNLplus applies a mix of classification, regression, few-shot prompting, rules, and retrieval-augmented generation to model psychological states and changes from social media, placing in the top ranks on several CLPsych 2026 subtasks.
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ICT-NLP at SemEval-2026 Task 3: Less Is More -- Multilingual Encoder with Joint Training and Adaptive Ensemble for Dimensional Aspect Sentiment Regression
A lightweight multilingual encoder system with joint training and adaptive ensemble achieves top-half rankings across datasets in SemEval-2026 dimensional aspect sentiment regression.
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DreamerNLplus: Interpretable Modeling of Mental Health Dynamics from Social Media Timelines using Hybrid Rule-Based and RAG Methods
DreamerNLplus applies a mix of classification, regression, few-shot prompting, rules, and retrieval-augmented generation to model psychological states and changes from social media, placing in the top ranks on several CLPsych 2026 subtasks.