84 citations · 194 across the 103 of their papers we have counts for
5 papers · 1 filter
Language Models (Mostly) Do Not Consider Emotion Triggers When Predicting Emotion
Smriti Singh, Cornelia Caragea, Junyi Jessy Li
Situations and events evoke emotions in humans, but to what extent do they inform the prediction of emotion detection models? This work investigates how well human-annotated emotio…
Wrapper Boxes: Faithful Attribution of Model Predictions to Training Data
Yiheng Su, Junyi Jessy Li, Matthew Lease
Can we preserve the accuracy of neural models while also providing faithful explanations of model decisions to training data? We propose a "wrapper box'' pipeline: training a neura…
QUDEVAL: The Evaluation of Questions Under Discussion Discourse Parsing
Yating Wu, Ritika Mangla, Greg Durrett +1
Questions Under Discussion (QUD) is a versatile linguistic framework in which discourse progresses as continuously asking questions and answering them. Automatic parsing of a disco…
Evaluating Subjective Cognitive Appraisals of Emotions from Large Language Models
Hongli Zhan, Desmond C. Ong, Junyi Jessy Li
The emotions we experience involve complex processes; besides physiological aspects, research in psychology has studied cognitive appraisals where people assess their situations su…
Counterfactual Probing for the Influence of Affect and Specificity on Intergroup Bias
Venkata S Govindarajan, Kyle Mahowald, David I. Beaver +1
While existing work on studying bias in NLP focues on negative or pejorative language use, Govindarajan et al. (2023) offer a revised framing of bias in terms of intergroup social…