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BanglaQuAD: A Bengali Open-domain Question Answering Dataset

Autor: Rony, Md Rashad Al Hasan, Shaha, Sudipto Kumar, Hasan, Rakib Al, Dey, Sumon Kanti, Rafi, Amzad Hossain, Sirajee, Ashraf Hasan, Lehmann, Jens

Bengali is the seventh most spoken language on earth, yet considered a low-resource language in the field of natural language processing (NLP). Question answering over unstructured text is a challenging NLP task as it requires understanding both ques

Externí odkaz: http://arxiv.org/abs/2410.10229

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Multimodal Hate Speech Detection from Bengali Memes and Texts

Autor: Karim, Md. Rezaul, Dey, Sumon Kanti, Islam, Tanhim, Shajalal, Md., Chakravarthi, Bharathi Raja

Publikováno v: Pre-print for our paper at International Conference on Speech & Language Technology for Low-resource Languages (SPELLL'2022)

Numerous machine learning (ML) and deep learning (DL)-based approaches have been proposed to utilize textual data from social media for anti-social behavior analysis like cyberbullying, fake news detection, and identification of hate speech mainly fo

Externí odkaz: http://arxiv.org/abs/2204.10196

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DeepHateExplainer: Explainable Hate Speech Detection in Under-resourced Bengali Language

Autor: Karim, Md. Rezaul, Dey, Sumon Kanti, Islam, Tanhim, Sarker, Sagor, Menon, Mehadi Hasan, Hossain, Kabir, Chakravarthi, Bharathi Raja, Hossain, Md. Azam, Decker, Stefan

The exponential growths of social media and micro-blogging sites not only provide platforms for empowering freedom of expressions and individual voices, but also enables people to express anti-social behaviour like online harassment, cyberbullying, a

Externí odkaz: http://arxiv.org/abs/2012.14353

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