Papers by Avishek Das

2 papers
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.

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