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 …

With the rapid development of web technology, Social Networks (SNs) have become one of
the most popular platforms for users to exchange views and to express their emotions. More …

Abstract Emotion Cause Triplet Extraction in Conversations (ECTEC) aims to simultaneously
extract emotion utterances, emotion categories, and cause utterances from conversations …

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

Emotion-cause pair extraction (ECPE) aims to extract emotion and cause clauses underlying
a text and pair them. Most of the recent approaches to this problem adopt deep neural …

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

Emotion-cause pair extraction (ECPE) is a challenging task that aims to automatically
identify pairs of emotions and their causes from documents. The difficulty of ECPE lies in …

Emotion Cause Pair Extraction (ECPE) aims to extract emotions and their causes from a
document. Powerful emotion and cause extraction abilities have proven essential in …

Relation triplets extraction (RTE) aims to extract all potential triplets of subject-object entities
and the corresponding relation in a sentence, which is an extremely essential procedure in …