11 citations · 20 across the 7 of their papers we have counts for
5 papers · 1 filter
CHATTER: A Character Attribution Dataset for Narrative Understanding
Sabyasachee Baruah, Shrikanth Narayanan
Computational narrative understanding studies the identification, description, and interaction of the elements of a narrative: characters, attributes, events, and relations. Narrat…
Using Emotion Embeddings to Transfer Knowledge Between Emotions, Languages, and Annotation Formats
Georgios Chochlakis, Gireesh Mahajan, Sabyasachee Baruah +3
The need for emotional inference from text continues to diversify as more and more disciplines integrate emotions into their theories and applications. These needs include inferrin…
Leveraging Label Correlations in a Multi-label Setting: A Case Study in Emotion
Georgios Chochlakis, Gireesh Mahajan, Sabyasachee Baruah +3
Detecting emotions expressed in text has become critical to a range of fields. In this work, we investigate ways to exploit label correlations in multi-label emotion recognition mo…
Cross Domain Emotion Recognition using Few Shot Knowledge Transfer
Justin Olah, Sabyasachee Baruah, Digbalay Bose +1
Emotion recognition from text is a challenging task due to diverse emotion taxonomies, lack of reliable labeled data in different domains, and highly subjective annotation standard…
Representation of professions in entertainment media: Insights into frequency and sentiment trends through computational text analysis
Sabyasachee Baruah, Krishna Somandepalli, Shrikanth Narayanan
Societal ideas and trends dictate media narratives and cinematic depictions which in turn influences people's beliefs and perceptions of the real world. Media portrayal of culture,…