Papers by Aseem Arora

2 papers
A Sentiment and Emotion Aware Multimodal Multiparty Humor Recognition in Multilingual Conversational Setting (2022.coling-1)

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Challenge: Humor is an essential aspect of daily conversation, and people try to provoke humor in their talks.
Approach: They propose a multitask framework that annotates Hindi utterances with sentiment and emotion classes.
Outcome: The proposed framework improves on the recently released Hindi Humor dataset . it takes sentiment and emotion into account to understand humor .
Transfer Learning for Humor Detection by Twin Masked Yellow Muppets (2022.aacl-short)

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Challenge: Existing humor classification systems have been dealing with different forms of humor independently.
Approach: They propose to combine different forms of humor to tackle different humor types by a shared-private multitask architecture using a transfer learning paradigm.
Outcome: The proposed architecture shows statistically significant improvements over baselines and accounting for new state-of-the-art figures for two datasets.

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