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    <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.</abstract>
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%0 Conference Proceedings
%T CSECU-DSG at SemEval-2025 Task 6: Exploiting Multilingual Feature Fusion-based Approach for Corporate Promise Verification
%A Hossain, Tashin
%A Chy, Abu Nowshed
%Y Rosenthal, Sara
%Y Rosá, Aiala
%Y Ghosh, Debanjan
%Y Zampieri, Marcos
%S Proceedings of the 19th International Workshop on Semantic Evaluation (SemEval-2025)
%D 2025
%8 July
%I Association for Computational Linguistics
%C Vienna, Austria
%@ 979-8-89176-273-2
%F hossain-chy-2025-csecu
%X 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.
%U https://aclanthology.org/2025.semeval-1.242/
%P 1849-1858

Markdown (Informal)

[CSECU-DSG at SemEval-2025 Task 6: Exploiting Multilingual Feature Fusion-based Approach for Corporate Promise Verification](https://aclanthology.org/2025.semeval-1.242/) (Hossain & Chy, SemEval 2025)

• CSECU-DSG at SemEval-2025 Task 6: Exploiting Multilingual Feature Fusion-based Approach for Corporate Promise Verification (Hossain & Chy, SemEval 2025)

ACL

• Tashin Hossain and Abu Nowshed Chy. 2025. CSECU-DSG at SemEval-2025 Task 6: Exploiting Multilingual Feature Fusion-based Approach for Corporate Promise Verification. In Proceedings of the 19th International Workshop on Semantic Evaluation (SemEval-2025), pages 1849–1858, Vienna, Austria. Association for Computational Linguistics.