Prosodic Contrasts in Ironic Speech
By Gregory A. Bryant. 2010
147 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Experimental and Cognitive Psychology
View Paper: https://www.semanticscholar.org/paper/c550993b8702dd03bd9ac80e368e769bc1db468b
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Soujanya Poria
- Navonil Majumder
- Devamanyu Hazarika
- Rada Mihalcea
- Erik Cambria
- Roger Zimmermann
- Verónica Pérez-Rosas
- C. Athena Aktipis
In Experimental and Cognitive Psychology
- Navonil Majumder
- Soujanya Poria
- Rada Mihalcea
- Devamanyu Hazarika
- Roger Zimmermann
- Verónica Pérez-Rosas
- C. Athena Aktipis
- Santiago Castro
Citations in the corpus
- Towards Multimodal Sarcasm Detection (An _Obviously_ Perfect Paper) (2019, background): “In general, prosodic features such as intonation and stress are considered important indicators of sarcasm (Bryant, 2010; Woodland and Voyer, 2011).”
- The animal nature of spontaneous human laughter (2014, background): “Bryant, C.A. Aktipis / Evolution and Human Behavior 35 (2014) 327–335”
- Beneath the Tip of the Iceberg: Current Challenges and New Directions in Sentiment Analysis Research (2020, background): “In speech, existing works leverage different signals such as prosodic cues (Bryant, 2010; Woodland & Voyer, 2011), acoustic features including low-level descriptors and spectral features (Cheang & Pell, 2008).”