2025
SemEval
SemEval 2025
OPI-DRO-HEL at at SemEval-2025 Task 11: Few-shot prompting for Text-based Emotion Recognition
Abstract
AbstractThis paper presents our system, developed as our contribution to SemEval-2025 Task 11: Bridging the Gap in Text-Based Emotion Detection task, in particular track A, Multi-label Emotion Detection subtask. Our approach relies on two distinct components: semantic search for top N most similar inputs from training set and an interface to pretrained LLM being prompted using the found examples. We examine several prompting strategies and their impact on overall performance of the proposed solution.
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Interdisciplinary Bridge
- Artificial Intelligence and Natural Language Processing
Authors
Topics
Machine Learning > Core Methods > Classification
Natural Language Processing > Applications > Text Classification
Machine Learning > Learning Types > Few-Shot Learning
Deep Learning > Learning Types > Few-Shot Learning
Natural Language Processing > Resources & Methods > Prompt Engineering
Natural Language Processing > Applications > Emotion Recognition