Author

Abdullah Al Shafi

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#artificial intelligence Preprint Sep 2026

Bangla Sentence Function Classification: Corpus Development, Model Benchmarking, and Interpretability

Automatic sentence function identification is important for many downstream natural language processing (NLP) applications such as dialogue systems, text-to-speech synthesis, and machine translation. However, benchmark resources for Bangla sentence function classification remain limited. To mitigate this gap, this pape...

Swapnil Kundu Argha, Abdullah Al Shafi, Rowzatul Zannat et al. · 0 citations

#computer vision Preprint Sep 2026

Evolution of Multimodal Question Answering: From Modality-Adaptive Extraction to Unified Language Representation

The rapid growth of multimodal data has intensified the need for question answering (QA) systems capable of reasoning across heterogeneous sources such as text, tables, and images. In this paper, we present a comprehensive methodological comparison of three influential frameworks, namely Multimodal Adaptive Extraction...

Abdullah Al Shafi · 0 citations

#artificial intelligence Preprint Aug 2026

BanglaMed-QA: A Question Answering System for Healthcare Support in Bangla

BanglaMed-QA, a robust QA system specifically designed for the Bangla medical domain, is introduced and supervised machine learning models in which SVM is found to be the best model to categorize questions are adopted.

Rowzatul Zannat, Abdullah Al Shafi, K. M. Azharul Hasan et al. · 0 citations