Papers by Avishek Das
A Multimodal Framework to Detect Target Aware Aggression in Memes (2024.eacl-long)
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| Challenge: | Recent research on memes’ detrimental facets is skewed towards high-resource languages, such as Bengali. |
| Approach: | They propose a dataset MIMOSA that annotates annotated memes across five aggression target categories in Bengali and propose 'Multimodal Attentive Fusion' to detect aggression targets. |
| Outcome: | The proposed method outperforms state-of-the-art methods in Bengali and in low-resource languages. |
Emotion Classification in a Resource Constrained Language Using Transformer-based Approach (2021.naacl-srw)
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| Challenge: | Existing methods to classify Bengali text into six basic emotions are infancy for resource-constrained languages like English, Arabic, Chinese and French. |
| Approach: | They propose a transformer-based technique to classify Bengali text into one of the six basic emotions: anger, fear, disgust, sadness, joy, and surprise. |
| Outcome: | The proposed technique outperforms all other techniques by achieving highest weighted f_1-score on the test data. |