Papers by Wasifur Rahman
Integrating Multimodal Information in Large Pretrained Transformers (2020.acl-main)
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Wasifur Rahman, Md Kamrul Hasan, Sangwu Lee, AmirAli Bagher Zadeh, Chengfeng Mao, Louis-Philippe Morency, Ehsan Hoque
| Challenge: | Recent Transformer-based contextual word representations have shown state-of-the-art performance in multiple disciplines within NLP. |
| Approach: | They propose an attachment to BERT and XLNet that allows them to accept multimodal nonverbal data during fine-tuning. |
| Outcome: | The proposed attachment allows BERT and XLNet to accept multimodal nonverbal data during fine-tuning. |
UR-FUNNY: A Multimodal Language Dataset for Understanding Humor (D19-1)
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Md Kamrul Hasan, Wasifur Rahman, AmirAli Bagher Zadeh, Jianyuan Zhong, Md Iftekhar Tanveer, Louis-Philippe Morency, Mohammed (Ehsan) Hoque
| Challenge: | Humor is a unique and creative communicative behavior often displayed during social interactions. |
| Approach: | They present a dataset that allows to model multimodal language used in expressing humor using text, visual and acoustic communication. |
| Outcome: | The proposed framework opens the door to understanding multimodal language used in expressing humor. |