AMuSeD: An Attentive Deep Neural Network for Multimodal Sarcasm Detection Incorporating Bi-modal Data Augmentation
A novel approach to multimodal sarcasm detection that combines text and audio data augmentation with attention mechanisms.
Dec 13, 2024
A Functional Trade-off between Prosodic and Semantic Cues in Conveying Sarcasm
We explore how speakers balance prosodic and semantic cues when expressing sarcasm, finding that prosodic features become more pronounced when semantic markers are ambiguous.
Aug 1, 2024
Improving Sarcasm Detection from Speech and Text through Attention-based Fusion Exploiting the Interplay of Emotions and Sentiments
We enhance sarcasm detection by combining speech and text data with emotion recognition and sentiment analysis, using attention-based fusion to capture the characteristic mismatch between emotional tone and semantic content.
May 13, 2024