Emotion Cause Extraction Field (ECEF) focuses on the cause that triggers an emotion in a
document. Traditional ECEF aims to extract the cause based on a given emotion while …

The ability to understand emotions is an essential component of human-like artificial
intelligence, as emotions greatly influence human cognition, decision making, and social …

Text-based emotion prediction is an important task in the field of affective computing. Most
prior work has been restricted to predicting emotions corresponding to a few high-level …

Multimodal Emotion Recognition in Conversations (MERC) is an important topic in human-
computer interaction. In the MERC task, conversations exhibit dynamic emotional …

Abstract The Causal Emotion Entailment (CEE) task aims to extract all potential pairs of
emotions and corresponding causes from the unannotated emotion document in the …

Emotion causes constitute a pivotal component in the comprehension of emotional
conversations. Recently, a new task named Causal Emotion Entailment (CEE) has been …

In human-computer interaction, it is crucial for agents to respond to human by understanding
their emotions. Unraveling the causes of emotions is more challenging. A new task named …

Metagenomic analyses facilitate the exploration of the microbial world, advancing our
understanding of microbial roles in ecological and biological processes. A pivotal aspect of …

Emotion detection is a critical technology extensively employed in diverse fields. While the
incorporation of commonsense knowledge has proven beneficial for existing emotion …

People exchange emotions through conversations with others and provide different answers
depending on the reasons for their emotions. During a conversation, it is important to find not …