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YNU-HPCC at SemEval-2025 Task 11: Bridging the Gap in Text-Based Emotion Using Multiple Prediction Headers

arXiv 2609.19238 ↗First posted 28 Jul 2026cs.CL cs.AIcited by 0

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Abstract (arXiv)

This paper describes the participation of the YNU-HPCC team in subtask A of task 11, Bridging the Gap in Text-Based Emotion at SemEval-2025. Our best-performing system employs the RoBERTa (Robustly Optimized BERT Approach) model, an improved version of BERT that utilizes the Transformer encoder architecture. We enhanced the output head to allow the model to process one emotion simultaneously. We obtained the official ranking score (0.44), including results from all languages. The entire dataset was translated into English using Google Translate to facilitate subsequent processing. Through probabilistic and attention analyses, we found that (I) a single prediction head performs better than six heads predicting six emotions simultaneously, and (II) training on a uniformly translated English dataset yields better results than using the original dataset. The code is available at: https://github.com/BGWH123/Semeval-2025-task11.

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References · 10

  1. 2018BERT: Pre-training of Deep Bidirectional Transformers for Language Understandingcited by 40,399
  2. 2019RoBERTa: A Robustly Optimized BERT Pretraining Approachcited by 13,372
  3. 2019DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lightercited by 4,307
  4. 2019ALBERT: A Lite BERT for Self-supervised Learning of Language Representationscited by 2,790
  5. 2020DeBERTa: Decoding-enhanced BERT with Disentangled Attentioncited by 2,181
  6. 2021BERT: A Review of Applications in Natural Language Processing and Understandingcited by 109
  7. 2024Evaluating the Capabilities of Large Language Models for Multi-label Emotion Understandingcited by 17
  8. 2023Massively Multilingual Corpus of Sentiment Datasets and Multi-faceted Sentiment Classification Benchmarkcited by 10
  9. 2018Emoji-Powered Representation Learning for Cross-Lingual Sentiment Classificationcited by 9
  10. 2024Instruct-DeBERTa: A Hybrid Approach for Aspect-based Sentiment Analysis on Textual Reviewscited by 2

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