9 citations · 17 across the 8 of their papers we have counts for
7 papers · 1 filter
Detection and Measurement of Syntactic Templates in Generated Text
Chantal Shaib, Yanai Elazar, Junyi Jessy Li +1
Recent work on evaluating the diversity of text generated by LLMs has focused on word-level features. Here we offer an analysis of syntactic features to characterize general repeti…
Large Language Models Produce Responses Perceived to be Empathic
Yoon Kyung Lee, Jina Suh, Hongli Zhan +2
Large Language Models (LLMs) have demonstrated surprising performance on many tasks, including writing supportive messages that display empathy. Here, we had these models generate…
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…
Sarcasm Detection in a Disaster Context
Tiberiu Sosea, Junyi Jessy Li, Cornelia Caragea
During natural disasters, people often use social media platforms such as Twitter to ask for help, to provide information about the disaster situation, or to express contempt about…
Unsupervised Extractive Summarization of Emotion Triggers
Tiberiu Sosea, Hongli Zhan, Junyi Jessy Li +1
Understanding what leads to emotions during large-scale crises is important as it can provide groundings for expressed emotions and subsequently improve the understanding of ongoin…