Emotion Cause Extraction
13 papers with code • 1 benchmarks • 1 datasets
Latest papers with no code
Wish I Can Feel What You Feel: A Neural Approach for Empathetic Response Generation
Expressing empathy is important in everyday conversations, and exploring how empathy arises is crucial in automatic response generation.
Discourse-Aware Emotion Cause Extraction in Conversations
In this paper, we investigate the importance of discourse structures in handling utterance interactions and conversationspecific features for ECEC.
Learning Emotion-Aware Contextual Representations for Emotion-Cause Pair Extraction
2) the ECPE task involves finding causes for multiple emotions in the document context, while ECE is for one emotion.
Multimodal Emotion-Cause Pair Extraction in Conversations
It is also interesting to discover emotions and their causes in conversations.
Learning Emotion-Aware Contextual Representations for Emotion Cause Analysis
The task has been expanded to Emotion Cause Pair Extraction (ECPE) that focus on extracting both emotions and corresponding causes in the context.
Multi-Task Learning and Adapted Knowledge Models for Emotion-Cause Extraction
Detecting what emotions are expressed in text is a well-studied problem in natural language processing.
ECSP: A New Task for Emotion-Cause Span-Pair Extraction and Classification
Emotion cause analysis such as emotion cause extraction (ECE) and emotion-cause pair extraction (ECPE) have gradually attracted the attention of many researchers.
A Knowledge Regularized Hierarchical Approach for Emotion Cause Analysis
Emotion cause analysis, which aims to identify the reasons behind emotions, is a key topic in sentiment analysis.
A Question Answering Approach for Emotion Cause Extraction
Emotion cause extraction aims to identify the reasons behind a certain emotion expressed in text.
A Question Answering Approach to Emotion Cause Extraction
Emotion cause extraction aims to identify the reasons behind a certain emotion expressed in text.