@inproceedings{jiang-zhang-2025-zhouyijiang1,
    title = "zhouyijiang1 at {S}em{E}val-2025 Task 11: A Multi-tag Detection Method based on Pre-training Language Models",
    author = "Jiang, Zhou  and
      Zhang, Dengtao",
    editor = "Rosenthal, Sara  and
      Ros{\'a}, Aiala  and
      Ghosh, Debanjan  and
      Zampieri, Marcos",
    booktitle = "Proceedings of the 19th International Workshop on Semantic Evaluation (SemEval-2025)",
    month = jul,
    year = "2025",
    address = "Vienna, Austria",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/ingest-brigap/2025.semeval-1.147/",
    pages = "1113--1117",
    ISBN = "979-8-89176-273-2",
    abstract = "In order to effectively predict the speaker{'}s informing emotion from text fragments, we propose a transfer learning framework based on the BERT pre-training model through deep semantic feature extraction and cascade structure of dynamic weight linear classifier. In the speaker informing emotion prediction task, a 0.70 F1 score is achieved, illustrating the effectiveness of cross-domain emotion recognition."
}