@inproceedings{hossain-chy-2025-csecu,
    title = "{CSECU}-{DSG} at {S}em{E}val-2025 Task 6: Exploiting Multilingual Feature Fusion-based Approach for Corporate Promise Verification",
    author = "Hossain, Tashin  and
      Chy, Abu Nowshed",
    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/mtsummit-25-ingestion/2025.semeval-1.242/",
    pages = "1849--1858",
    ISBN = "979-8-89176-273-2",
    abstract = "In SemEval-2025, we participated on the multilingual corporate promise verification task. In the task, we mainly focused on the promise and evidence identification task, and illustrated the performance for the five different languages. For all the languages, we proposed a unified state-of-the-art framework to classify the target labels. For the framework, we incorporated the pre-feature fusion approach, then integrate it with the neural network architecture. Additionally, in the dataset description and discussion section, we provide different insights of our finding through visualization of the dataset structures and explainability of the model{'}s performance."
}