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 …

Abstract Emotion-Cause Pair Extraction (ECPE) is a research objective focused on
identifying and extracting all emotion-clause and cause-clause pairs from unannotated …

Identifying the emotional causes of mental illnesses is key to effective intervention. Existing
emotion-cause analysis approaches can effectively detect simple emotion-cause …

The multimodal emotion-cause pair extraction (MECPE) task aims to detect the emotions,
causes, and emotion-cause pairs from multimodal conversations. Existing methods for this …

Abstract Emotion-Cause Pair Extraction (ECPE) aims to identify the document's emotion
clauses and corresponding cause clauses. Like other relation extraction tasks, ECPE is …

Emotion-cause pair extraction (ECPE) task aims to identify both emotion and cause clauses
in a given document, which has received growing attention in recent years. Existing ECPE …

Emotion cause analysis has been a prominent focus in natural language processing. The
existing studies mainly focus on the clause-level emotion cause extraction (ECE) or emotion …

Emotion-Cause Pair Extraction (ECPE) involves extracting clause pairs representing
emotions and their causes in a document. Existing methods tend to overfit spurious …

Abstract Causal Emotion Entailment (CEE) aims to identify the corresponding causal
utterances given a non-neutral target utterance and its conversational history. Previous …

Abstract Argumentation mining (AM) aims to detect the arguments and their inherent
relations from argumentative textual compositions. Generally, AM comprises three key …